NuStartz is seeking an experienced Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines across cloud platforms (GCP / AWS / Azure), supporting scalable analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.Lead or support the migration and modernization of existing data workflows across GCP, AWS, or Azure environments.Build efficient systems for data ingestion, transformation, and delivery across platforms.Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.Implement and monitor data governance, data quality, and performance standards.Optimize cloud resources for performance and cost efficiency.Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.Required Skills & Experience6+ years of hands-on experience as a Data Engineer.Strong proficiency in SQL, Python, and data transformation frameworks.Proven experience with at least one major cloud platform: GCP, AWS, or Azure. GCP: BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage AWS: Redshift, Glue, S3, Lambda, EMR Azure: Azure Data Factory, Synapse Analytics, Data LakeStrong understanding of ETL/ELT processes, data modeling, and data warehouse architectures.Experience with version control (Git) and CI/CD pipelines for data workflows.Solid understanding of data quality, observability, and reliability practices.Preferred QualificationsExperience working in multi-cloud or cloud migration/modernization projects.Familiarity with orchestration tools such as Airflow, dbt, Dataform, or similar.Experience with streaming data and event-driven architectures.Strong analytical, problem-solving, and communication skills.Why Join NuStartz Work hands-on with modern cloud data technologies on impactful projects.Drive the next-generation data pipeline framework from the ground up.Be part of a fast-moving, innovation-driven team that values ownership and collaboration.Opportunity to make key architectural and strategic contributions.NuStartz is seeking an experienced Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines across cloud platforms (GCP / AWS / Azure), supporting scalable analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT workflows.Lead or support the migration and modernization of existing data workflows across GCP, AWS, or Azure environments.Build efficient systems for data ingestion, transformation, and delivery across platforms.Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.Implement and monitor data governance, data quality, and performance standards.Optimize cloud resources for performance and cost efficiency.Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.Required Skills & Experience6+ years of hands-on experience as a Data Engineer.Strong proficiency in SQL, Python, and data transformation frameworks.Proven experience with at least one major cloud platform: GCP, AWS, or Azure. GCP: BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage AWS: Redshift, Glue, S3, Lambda, EMR Azure: Azure Data Factory, Synapse Analytics, Data LakeStrong understanding of ETL/ELT processes, data modeling, and data warehouse architectures.Experience with version control (Git) and CI/CD pipelines for data workflows.Solid understanding of data quality, observability, and reliability practices.Preferred QualificationsExperience working in multi-cloud or cloud migration/modernization projects.Familiarity with orchestration tools such as Airflow, dbt, Dataform, or similar.Experience with streaming data and event-driven architectures.Strong analytical, problem-solving, and communication skills.Why Join NuStartz Work hands-on with modern cloud data technologies on impactful projects.Drive the next-generation data pipeline framework from the ground up.Be part of a fast-moving, innovation-driven team that values ownership and collaboration.Opportunity to make key architectural and strategic contributions.NuStartz is seeking an experienced Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines across cloud platforms (GCP / AWS / Azure), supporting scalable analytics and business intelligence initiatives.NuStartz is seeking an experienced Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines across cloud platforms (GCP / AWS / Azure), supporting scalable analytics and business intelligence initiatives.NuStartz is seeking an experienced Data Engineer to drive the modernization of our data infrastructure. The ideal candidate will play a key role in designing, building, and optimizing data pipelines across cloud platforms (GCP / AWS / Azure), supporting scalable analytics and business intelligence initiatives.

You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.

You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.You will collaborate with multiple teams to create a scalable, efficient, and future-ready data environment that supports advanced analytics and business intelligence initiatives.Key ResponsibilitiesKey ResponsibilitiesKey ResponsibilitiesKey Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

• Lead or support the migration and modernization of existing data workflows across GCP, AWS, or Azure environments.

Lead or support the migration and modernization of existing data workflows across GCP, AWS, or Azure environments.Lead or support the migration and modernization of existing data workflows across GCP, AWS, or Azure environments.Lead or support the migration and modernization of existing data workflows across GCP, AWS, or Azure environments.

• Build efficient systems for data ingestion, transformation, and delivery across platforms.

Build efficient systems for data ingestion, transformation, and delivery across platforms.Build efficient systems for data ingestion, transformation, and delivery across platforms.Build efficient systems for data ingestion, transformation, and delivery across platforms.

• Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.

Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.Collaborate with engineering, product, and analytics teams to ensure data accessibility and integrity.

• Implement and monitor data governance, data quality, and performance standards.

Implement and monitor data governance, data quality, and performance standards.Implement and monitor data governance, data quality, and performance standards.Implement and monitor data governance, data quality, and performance standards.

• Optimize cloud resources for performance and cost efficiency.

Optimize cloud resources for performance and cost efficiency.Optimize cloud resources for performance and cost efficiency.Optimize cloud resources for performance and cost efficiency.

• Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.

Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.Continuously evaluate and integrate new tools and technologies to enhance pipeline performance.Required Skills & ExperienceRequired Skills & ExperienceRequired Skills & ExperienceRequired Skills & Experience

• 6+ years of hands-on experience as a Data Engineer.

6+ years of hands-on experience as a Data Engineer.6+ years of hands-on experience as a Data Engineer.6+ years of hands-on experience as a Data Engineer.

• Strong proficiency in SQL, Python, and data transformation frameworks.

Strong proficiency in SQL, Python, and data transformation frameworks.Strong proficiency in SQL, Python, and data transformation frameworks.Strong proficiency in SQL, Python, and data transformation frameworks.

• Proven experience with at least one major cloud platform: GCP, AWS, or Azure. GCP: BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage AWS: Redshift, Glue, S3, Lambda, EMR Azure: Azure Data Factory, Synapse Analytics, Data Lake

Proven experience with at least one major cloud platform: GCP, AWS, or Azure. GCP: BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage AWS: Redshift, Glue, S3, Lambda, EMR Azure: Azure Data Factory, Synapse Analytics, Data LakeProven experience with at least one major cloud platform: GCP, AWS, or Azure. GCP: BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage AWS: Redshift, Glue, S3, Lambda, EMR Azure: Azure Data Factory, Synapse Analytics, Data LakeProven experience with at least one major cloud platform: GCP, AWS, or Azure. GCP: BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage AWS: Redshift, Glue, S3, Lambda, EMR Azure: Azure Data Factory, Synapse Analytics, Data Lake

• Strong understanding of ETL/ELT processes, data modeling, and data warehouse architectures.

Strong understanding of ETL/ELT processes, data modeling, and data warehouse architectures.Strong understanding of ETL/ELT processes, data modeling, and data warehouse architectures.Strong understanding of ETL/ELT processes, data modeling, and data warehouse architectures.

• Experience with version control (Git) and CI/CD pipelines for data workflows.

Experience with version control (Git) and CI/CD pipelines for data workflows.Experience with version control (Git) and CI/CD pipelines for data workflows.Experience with version control (Git) and CI/CD pipelines for data workflows.

• Solid understanding of data quality, observability, and reliability practices.

Solid understanding of data quality, observability, and reliability practices.Solid understanding of data quality, observability, and reliability practices.Solid understanding of data quality, observability, and reliability practices.Preferred QualificationsPreferred QualificationsPreferred QualificationsPreferred Qualifications

• Experience working in multi-cloud or cloud migration/modernization projects.

Experience working in multi-cloud or cloud migration/modernization projects.Experience working in multi-cloud or cloud migration/modernization projects.Experience working in multi-cloud or cloud migration/modernization projects.

• Familiarity with orchestration tools such as Airflow, dbt, Dataform, or similar.

Familiarity with orchestration tools such as Airflow, dbt, Dataform, or similar.Familiarity with orchestration tools such as Airflow, dbt, Dataform, or similar.Familiarity with orchestration tools such as Airflow, dbt, Dataform, or similar.

• Experience with streaming data and event-driven architectures.

Experience with streaming data and event-driven architectures.Experience with streaming data and event-driven architectures.Experience with streaming data and event-driven architectures.

• Strong analytical, problem-solving, and communication skills.

Strong analytical, problem-solving, and communication skills.Strong analytical, problem-solving, and communication skills.Strong analytical, problem-solving, and communication skills.Why Join NuStartzWhy Join NuStartzWhy Join NuStartzWhy Join NuStartz

• Work hands-on with modern cloud data technologies on impactful projects.

Work hands-on with modern cloud data technologies on impactful projects.Work hands-on with modern cloud data technologies on impactful projects.Work hands-on with modern cloud data technologies on impactful projects.

• Drive the next-generation data pipeline framework from the ground up.

Drive the next-generation data pipeline framework from the ground up.Drive the next-generation data pipeline framework from the ground up.Drive the next-generation data pipeline framework from the ground up.

• Be part of a fast-moving, innovation-driven team that values ownership and collaboration.

Be part of a fast-moving, innovation-driven team that values ownership and collaboration.Be part of a fast-moving, innovation-driven team that values ownership and collaboration.Be part of a fast-moving, innovation-driven team that values ownership and collaboration.

• Opportunity to make key architectural and strategic contributions.

Opportunity to make key architectural and strategic contributions.Opportunity to make key architectural and strategic contributions.Opportunity to make key architectural and strategic contributions.I'm interested{{criteriaIndex}} {{field}} {{captialize(condition)}} ( ) {{cxPropHelpText}} {{cxPropField.consent_details.description}} {{record.Posting_Title}} {{record.Posting_Title}} {{record.Posting_Title}} {{candidate.Email}} {{topMessage}} Job Details {{topMessage}} previous next {{title}} {{score}}% Job Description {{unescape(sanitizeHTML(descriptionHTML))}} {{message}} Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}} For privacy and security purposes, please go through the following points and provide consent. Accept Decline {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{cxPropAssessment.name}} {{getI18n("zr.questionnaire.question.information.heading")}} {{getI18n("zr.cw.autofill.head")}} {{cxPropBodyMessage}} {{getI18n("zr.careers.autopopulate.success")}} {{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}} {{if(cxPropDetails.applyWithSeekButton,cxPropDetails.applyWithSeekButton.buttonLabel,getI18n("zr.quickapply.apply.toggle","Seek"))}} {{getI18n('zr.eeo.questionnaire.portal.maintitle')}} {{botName}} {{getI18n("zr.zia.sb.consent.msg1")}}{{criteriaIndex}}{{criteriaIndex}}{{field}} {{captialize(condition)}}{{field}}{{captialize(condition)}}( )(){{cxPropHelpText}}{{cxPropHelpText}}{{cxPropField.consent_details.description}}

{{cxPropField.consent_details.description}}

{{record.Posting_Title}}{{record.Posting_Title}}{{record.Posting_Title}}

{{record.Posting_Title}}

{{record.Posting_Title}}{{record.Posting_Title}}

{{record.Posting_Title}}

{{record.Posting_Title}}

• {{record.Posting_Title}}

{{record.Posting_Title}}

{{record.Posting_Title}}{{candidate.Email}}{{candidate.Email}}{{candidate.Email}}

{{candidate.Email}}

{{topMessage}}Job DetailsJob DetailsJob DetailsJob Details{{topMessage}}previousnext{{title}} {{score}}% Job Description {{unescape(sanitizeHTML(descriptionHTML))}}{{title}} {{score}}% Job Description {{unescape(sanitizeHTML(descriptionHTML))}}{{title}} {{score}}%

{{title}}

{{title}}{{score}}%Job Description {{unescape(sanitizeHTML(descriptionHTML))}}

Job Description

{{message}}

Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}}

For privacy and security purposes, please go through the following points and provide consent.Accept DeclineAccept DeclineAcceptDecline{{getI18n("zr.careers.publicpage.meta.joblisting")}}{{getI18n("zr.careers.publicpage.meta.joblisting")}}

• {{getI18n("zr.careers.publicpage.meta.joblisting")}}

{{getI18n("zr.careers.publicpage.meta.joblisting")}}{{getI18n("zr.careers.publicpage.meta.joblisting")}}{{getI18n("zr.careers.publicpage.meta.joblisting")}}

• {{getI18n("zr.careers.publicpage.meta.joblisting")}}

{{getI18n("zr.careers.publicpage.meta.joblisting")}}{{cxPropAssessment.name}} {{getI18n("zr.questionnaire.question.information.heading")}}{{cxPropAssessment.name}} {{getI18n("zr.questionnaire.question.information.heading")}}{{cxPropAssessment.name}}

{{getI18n("zr.questionnaire.question.information.heading")}}

{{getI18n("zr.cw.autofill.head")}} {{cxPropBodyMessage}} {{getI18n("zr.careers.autopopulate.success")}}

{{getI18n("zr.cw.autofill.head")}}

{{cxPropBodyMessage}}

{{getI18n("zr.careers.autopopulate.success")}}

{{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}}

{{getI18n('zr.eeo.questionnaire.portal.maintitle')}}{{botName}}{{botName}}{{getI18n("zr.zia.sb.consent.msg1")}}{{getI18n("zr.zia.sb.consent.msg1")}}{{getI18n("zr.zia.sb.consent.msg1")}}{{getI18n("zr.zia.sb.consent.msg1")}}{{getI18n("zr.zia.sb.consent.msg1")}}{{getI18n("zr.zia.sb.consent.msg1")}}{{getI18n("zr.zia.sb.consent.msg1")}}