Walk-in || Azure Data Factory, Python, PostgreSQL,

Job description

Work location : Bangalore Work Mode: Hybrid Grade - G4 ( 4-6yrs) 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.