Available for Inperson Interview on 22nd August at Bengaluru: Yes/No
Key Responsibilities
- Design and develop scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks.
- Build and optimize batch and real-time data processing solutions using PySpark and Spark SQL.
- Work with Azure Data Lake Storage (ADLS Gen2), Delta Lake, and contemporary Lakehouse architectures.
- Develop data models, transformations, and data integration workflows.
- Implement data quality, governance, lineage, and security controls.
- Optimize Spark jobs, SQL queries, and large-scale data processing workloads.
- Collaborate with BI, Analytics, Data Science, and business teams.
- Automate deployments using CI/CD and DevOps best practices.
- Support data migration, integration, and cloud modernization initiatives