Data Platform Developer

We are seeking highly experienced Data engineer to join our team. Experience * 5-8 years of experience in Data Engineering, Data Warehousing, and Cloud Data Platform development. Data Engineering * Strong hands-on experience with Snowflake, PySpark, Python, and SQL. * Expertise in designing and developing scalable ETL/ELT pipelines for large-volume datasets. * Experience with data ingestion, transformation, data quality, reconciliation, and performance optimization. * Strong understanding of dimensional modeling, data warehousing concepts, and metadata-driven frameworks. Cloud & Big Data * Hands-on experience with AWS services such as S3, Glue, Lambda, EMR, Athena, Redshift, ECS/EKS, and IAM. * Experience building cloud-native data solutions and modern data platforms. * Strong understanding of distributed processing and big data architectures. Snowflake * Expertise in Snowflake architecture, SnowSQL, Streams, Tasks, Dynamic Tables, Snowpark, Data Sharing, and Performance Tuning. * Experience implementing scalable data marts, semantic layers, and enterprise reporting solutions. * Knowledge of Snowflake security, governance, and cost optimization best practices. AI & Emerging Technologies * Exposure to Generative AI, Agentic AI, LLMs, Vector Databases, and AI-powered analytics solutions. * Experience leveraging AI services for data discovery, data quality, metadata management, or business insights. * Understanding of RAG architectures, embeddings, and AI-assisted data engineering workflows. DevOps & Automation * Experience with Git, Jenkins, GitHub Actions, Terraform, and Infrastructure as Code. * Familiarity with CI/CD pipelines and automated deployment of data workloads. * Experience with workflow orchestration tools such as Airflow or similar platforms. Data Integration * Experience integrating data from relational databases, APIs, event streams, and enterprise applications. * Exposure to CDC, real-time processing, Kafka, and event-driven architectures. * Strong understanding of data lineage, governance, retention, and regulatory compliance requirements. Soft Skills * Strong analytical and problem-solving skills. * Ability to work independently in a fast-paced Agile environment. * Excellent communication and stakeholder management skills. Preferred * Experience with Oracle, Hadoop modernization, Ab Initio migration, or enterprise data platform transformation initiatives. * Exposure to Data Mesh, Data Fabric, and modern analytics architectures. * Financial Services or Regulated Industry experience. * Experience building AI-ready data platforms and supporting advanced analytics use cases. \------------------------------------------------------ ## Job Family Group: Technology \------------------------------------------------------ ## Job Family: Applications Development \------------------------------------------------------ ## Time Type: Full time \------------------------------------------------------ ## Most Relevant Skills Please see the requirements listed above. \------------------------------------------------------ ## Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. \------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.