Skills- Azure Data Factory, Python, PostgreSQL, Azure Blob Storage, and SQL

Key Responsibilities

- Develop data ingestion and migration pipelines using Azure Data Factory and Python.
- Extract data from SharePoint lists, document libraries, Excel workbooks, XML files, and file repositories.
- Build transformation logic to standardize heterogeneous tracker structures and align with the target data model.
- Implement data cleansing, validation, reconciliation, and error-handling routines.
- Develop bulk-load and delta migration processes for active case migration.
- Migrate attachments to Azure Blob Storage and maintain metadata references within PostgreSQL.
- Create SQL scripts and load processes for PostgreSQL data migration.
- Support testing, UAT, reconciliation, cutover, and post-migration validation activities.




- Monitor migration performance and optimize pipeline execution.
- Prepare technical documentation and migration deployment artifacts.

Required Skills & Experience

- 4+ years of experience in Data Engineering, ETL development, or Data Migration projects.
- Hands-on experience with:
- Azure Data Factory (ADF)
- Python
- PostgreSQL
- Azure Blob Storage
- SQL
- Experience working with SharePoint APIs, Excel ingestion, XML parsing, and document migration.
- Knowledge of data quality validation, reconciliation processes, and ETL best practices.
- Experience with Azure DevOps, Git, and CI/CD tools is desirable.

📌 Azure Data Engineer with PostgreSQL (Bengaluru)
🏢 Hexaware Technologies
📍 Bengaluru