Data Engineer

About the Role We are seeking a Data Engineer to design and build scalable data pipelines and platforms using cloud technologies. You will work on enterprise data infrastructure projects across financial services, owning end-to-end data solutions from ingestion through analytics serving. This role requires strong technical depth and the ability to collaborate across teams to deliver high-quality, governed data solutions.

Key

Design & build data pipelines — ETL/ELT processes, data transformations, real-time streaming Architect data platforms — design schemas, optimize performance, ensure scalability Implement data governance — manage access control, data quality checks, metadata tracking Support banking/financial use cases — work on transaction data, customer analytics, risk reporting Optimize performance & costs — tune queries, manage cloud resources, balance speed vs. cost Collaborate with teams — work with analysts, data scientists, DBAs, and architects Document & share knowledge — write runbooks, design docs, and best-practice guides Required

Snowflake OR Databricks — production experience with complex queries, performance tuning Data Modeling — design normalized/dimensional schemas for analytics Cloudera OR Teradata — experience with at least one legacy/on-premises platform 5+ years in data engineering roles Strong SQL — write efficient, optimized queries Python or Scala — develop data transformations and automation