Senior Data Engineer
Bidgely, Inc. (company site, opens in a new tab)5+ yrsBengaluruRemoteDirect career pageEst. 20–32 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable batch and streaming ELT/ETL data pipelines and large-scale datasets on Databricks and Snowflake, including AI agent data products.
- Implement automated data quality checks, lineage tracking, RBAC security policies, and optimize compute and storage costs within budget constraints.
- Collaborate with architects, product managers, and data science teams to deliver production-ready data platform features, supporting governance and CI/CD practices.
Minimum Requirements
- 5+ years of hands-on data engineering experience with central data platforms, Databricks, and Snowflake.
- Strong proficiency in Apache Spark (Python or Scala), SQL, Delta Lake, Kafka, and Apache Airflow for production pipeline orchestration.
- Experience with data governance concepts including lineage, quality monitoring, compliance, and RBAC.
- Work Experience Required: 5+ years
Ideal Candidate Profile
- Experienced in building AI agents and agentic data products on Databricks and Snowflake using LangGraph and MCP tools.
- Comfortable translating complex architectural designs into modular, scalable, production code applying software design principles.
- Skilled in cost optimization of cloud data platforms, data modeling (Kimball and 3NF), and CI/CD pipeline development in cloud environments.