Senior Data Engineer -Databricks
ShyftLabs (company site, opens in a new tab)4+ yrsCoimbatoreHybridDirect career pageEst. 10–18 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks Lakehouse Platform, PySpark, and SQL.
- Integrate and manage data from multiple sources including databases, Amazon S3, files, and REST APIs with Delta Lake using Medallion Architecture.
- Optimize and monitor Databricks Jobs, Workflows, and Spark workloads for performance, reliability, and scalability.
Minimum Requirements
- Strong expertise in Python, PySpark, Advanced SQL, and Databricks Lakehouse Platform.
- Experience with Databricks components: Unity Catalog, Delta Lake, Workflows/Jobs, Clusters, Notebooks, Repos, and Medallion Architecture.
- Work Experience Required: Minimum 4 years in Data Engineering with at least 2 years hands-on experience on Databricks.
- Experience integrating data via REST APIs; knowledge of ETL/ELT, batch processing, incremental loading, data modeling, and data warehousing concepts.
Ideal Candidate Profile
- Professional with practical experience building and optimizing large-scale data pipelines in Databricks environment.
- Candidate who understands and applies Medallion Architecture and data governance practices effectively.
- Comfortable working with structured and semi-structured data and implementing CI/CD and Git best practices in data engineering workflows.