Ness Digital Engineering Careers - Sr. Data Engineer

Ness Digital Engineering Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-08", "description": "

Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite \u2013 4 days/week)Life at Ness:\u00A0
At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job\u2014it\u2019s a place where your ideas, ambition, and well-being matter.\u00A0About the Role:
We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.
• Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.
• Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.
• Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
• Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
• Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
• Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
• Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
• Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.

Required Qualifications:

• Bachelor\u2019s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.
• Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
• Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
• AWS Technologies (Glue, EMR)
• Python for data engineering workflows
• Strong understanding of data engineering design patterns
• Strong problem-solving skills and the ability to work independently to meet deadlines.
• Excellent communication skills for effectively interacting with technical and non-technical stakeholders.

Preferred Qualifications:

• Certifications in Snowflake or relevant data technologies.
• Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.
• Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).

Why Join Us:\u00A0
At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply\u2014even if you don\u2019t meet every requirement, we\u2019d love to connect with you if this role excites you. We\u2019re committed to creating an inclusive workplace that celebrates each team member\u2019s unique talents.\u00A0\u00A0With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that\u2019s meaningful and impactful.\u00A0Ready to Start Your Journey?", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "onEsAfwN", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore", "addressRegion": "India", "addressCountry": "India" } } ], "title": "Sr. Data Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Sr. Data Engineer Data EngineeringHybrid Remote, Bangalore, India Apply Description Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite – 4 days/week)Life at Ness: At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter. About the Role:We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.Required Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field.5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.Proficiency in SQL and familiarity with data integration and ETL/ELT tools.AWS Technologies (Glue, EMR)Python for data engineering workflowsStrong understanding of data engineering design patternsStrong problem-solving skills and the ability to work independently to meet deadlines.Excellent communication skills for effectively interacting with technical and non-technical stakeholders.Preferred Qualifications:Certifications in Snowflake or relevant data technologies.Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).Knowledge of data visualization tools (e.g., Tableau, Power BI).Why Join Us: At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents. With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful. Ready to Start Your Journey? Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs Senior Data Engineer (Databricks) Data Science / AI Engineer Sr. Data Engineer Senior Data Engineer – Enterprise Data Hub (AWS + Snowflake + DBT + PySpark + CI/CD) Powered by Jobvite

Ness Digital Engineering Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-08", "description": "

Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite \u2013 4 days/week)Life at Ness:\u00A0
At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job\u2014it\u2019s a place where your ideas, ambition, and well-being matter.\u00A0About the Role:
We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.
• Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.
• Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.
• Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
• Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
• Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
• Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
• Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
• Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.

Required Qualifications:

• Bachelor\u2019s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.
• Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
• Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
• AWS Technologies (Glue, EMR)
• Python for data engineering workflows
• Strong understanding of data engineering design patterns
• Strong problem-solving skills and the ability to work independently to meet deadlines.
• Excellent communication skills for effectively interacting with technical and non-technical stakeholders.

Preferred Qualifications:

• Certifications in Snowflake or relevant data technologies.
• Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.
• Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).

Why Join Us:\u00A0
At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply\u2014even if you don\u2019t meet every requirement, we\u2019d love to connect with you if this role excites you. We\u2019re committed to creating an inclusive workplace that celebrates each team member\u2019s unique talents.\u00A0\u00A0With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that\u2019s meaningful and impactful.\u00A0Ready to Start Your Journey?", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "onEsAfwN", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore", "addressRegion": "India", "addressCountry": "India" } } ], "title": "Sr. Data Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Sr. Data Engineer Data EngineeringHybrid Remote, Bangalore, India Apply Description Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite – 4 days/week)Life at Ness: At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter. About the Role:We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.Required Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field.5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.Proficiency in SQL and familiarity with data integration and ETL/ELT tools.AWS Technologies (Glue, EMR)Python for data engineering workflowsStrong understanding of data engineering design patternsStrong problem-solving skills and the ability to work independently to meet deadlines.Excellent communication skills for effectively interacting with technical and non-technical stakeholders.Preferred Qualifications:Certifications in Snowflake or relevant data technologies.Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).Knowledge of data visualization tools (e.g., Tableau, Power BI).Why Join Us: At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents. With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful. Ready to Start Your Journey? Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs Senior Data Engineer (Databricks) Data Science / AI Engineer Sr. Data Engineer Senior Data Engineer – Enterprise Data Hub (AWS + Snowflake + DBT + PySpark + CI/CD) Powered by Jobvite

Ness Digital Engineering Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-08", "description": "

Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite \u2013 4 days/week)Life at Ness:\u00A0
At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job\u2014it\u2019s a place where your ideas, ambition, and well-being matter.\u00A0About the Role:
We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.
• Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.
• Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.
• Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
• Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
• Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
• Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
• Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
• Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.

Required Qualifications:

• Bachelor\u2019s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.
• Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
• Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
• AWS Technologies (Glue, EMR)
• Python for data engineering workflows
• Strong understanding of data engineering design patterns
• Strong problem-solving skills and the ability to work independently to meet deadlines.
• Excellent communication skills for effectively interacting with technical and non-technical stakeholders.

Preferred Qualifications:

• Certifications in Snowflake or relevant data technologies.
• Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.
• Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).

Why Join Us:\u00A0
At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply\u2014even if you don\u2019t meet every requirement, we\u2019d love to connect with you if this role excites you. We\u2019re committed to creating an inclusive workplace that celebrates each team member\u2019s unique talents.\u00A0\u00A0With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that\u2019s meaningful and impactful.\u00A0Ready to Start Your Journey?", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "onEsAfwN", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore", "addressRegion": "India", "addressCountry": "India" } } ], "title": "Sr. Data Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Sr. Data Engineer Data EngineeringHybrid Remote, Bangalore, India Apply Description Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite – 4 days/week)Life at Ness: At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter. About the Role:We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.Required Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field.5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.Proficiency in SQL and familiarity with data integration and ETL/ELT tools.AWS Technologies (Glue, EMR)Python for data engineering workflowsStrong understanding of data engineering design patternsStrong problem-solving skills and the ability to work independently to meet deadlines.Excellent communication skills for effectively interacting with technical and non-technical stakeholders.Preferred Qualifications:Certifications in Snowflake or relevant data technologies.Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).Knowledge of data visualization tools (e.g., Tableau, Power BI).Why Join Us: At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents. With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful. Ready to Start Your Journey? Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs Senior Data Engineer (Databricks) Data Science / AI Engineer Sr. Data Engineer Senior Data Engineer – Enterprise Data Hub (AWS + Snowflake + DBT + PySpark + CI/CD) Powered by Jobvite

{ "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-08", "description": "

Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite \u2013 4 days/week)Life at Ness:\u00A0
At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job\u2014it\u2019s a place where your ideas, ambition, and well-being matter.\u00A0About the Role:
We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:

• Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.
• Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.
• Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.
• Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
• Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
• Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
• Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
• Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
• Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.

Required Qualifications:

• Bachelor\u2019s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.
• Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
• Proficiency in SQL and familiarity with data integration and ETL/ELT tools.
• AWS Technologies (Glue, EMR)
• Python for data engineering workflows
• Strong understanding of data engineering design patterns
• Strong problem-solving skills and the ability to work independently to meet deadlines.
• Excellent communication skills for effectively interacting with technical and non-technical stakeholders.

Preferred Qualifications:

• Certifications in Snowflake or relevant data technologies.
• Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.
• Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).

Why Join Us:\u00A0
At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply\u2014even if you don\u2019t meet every requirement, we\u2019d love to connect with you if this role excites you. We\u2019re committed to creating an inclusive workplace that celebrates each team member\u2019s unique talents.\u00A0\u00A0With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that\u2019s meaningful and impactful.\u00A0Ready to Start Your Journey?", "hiringOrganization": "Ness Digital Engineering", "employmentType": "Full-Time", "industry": "Data Engineering", "identifier": "onEsAfwN", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Bangalore", "addressRegion": "India", "addressCountry": "India" } } ], "title": "Sr. Data Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Sr. Data Engineer Data EngineeringHybrid Remote, Bangalore, India Apply Description Job Title: Data EngineerLocation: Primary: Gurugram, India (Onsite – 4 days/week)Life at Ness: At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter. About the Role:We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.Key Responsibilities:Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.Required Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field.5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.Proficiency in SQL and familiarity with data integration and ETL/ELT tools.AWS Technologies (Glue, EMR)Python for data engineering workflowsStrong understanding of data engineering design patternsStrong problem-solving skills and the ability to work independently to meet deadlines.Excellent communication skills for effectively interacting with technical and non-technical stakeholders.Preferred Qualifications:Certifications in Snowflake or relevant data technologies.Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).Knowledge of data visualization tools (e.g., Tableau, Power BI).Why Join Us: At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents. With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful. Ready to Start Your Journey? Apply Apply Later ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Similar Jobs Senior Data Engineer (Databricks) Data Science / AI Engineer Sr. Data Engineer Senior Data Engineer – Enterprise Data Hub (AWS + Snowflake + DBT + PySpark + CI/CD)

Sr. Data Engineer

Data EngineeringHybrid Remote, Bangalore, India

,