About the role

Data & Analytics team at Capco builds modern data platforms for banking, financial and energy clients. The Data Engineer designs, develops and maintains scalable Python and Azure Databricks pipelines, collaborates with data scientists and architects, and ensures data quality and governance. Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Pune, India, hybrid onsite model, relocation assistance available.

What you’ll do

Design and develop scalable data pipelines
Build and optimize ETL/ELT workflows
Develop data solutions using Spark in Databricks
Integrate data from multiple sources
Ensure data quality, security and governance
Collaborate with data scientists, analysts and architects
Implement performance tuning for large-scale processing
Monitor and troubleshoot production pipelines

What you’ll bring

4+ years data engineering
Python programming
Azure Databricks
Apache Spark (PySpark)
SQL and Delta Lake
Azure Data Factory
Azure Data Lake Storage
Git and CI/CD

Nice to have

4+ years data engineering
Python programming
Azure Databricks
Apache Spark (PySpark)
SQL and Delta Lake
Azure Data Factory
Azure Data Lake Storage
Git and CI/CD

Skills

PythonAzure DatabricksSparkSQLDelta LakeData FactoryData Lake StorageCI/CD

Education

Bachelor's or Master's in Computer Science, Engineering, or IT