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Position: ADF, Databricks, PySpark Engineer

Experience: 7 to 9 years

Location: Bangalore, Trivandrum

Roles & Responsibilities
Design, develop, and maintain data pipelines using Azure Data Factory (ADF).
Build scalable data processing solutions using Azure Databricks, Python, and PySpark.
Develop ETL/ELT workflows for data ingestion, transformation, and loading.
Work with Azure Data Lake Storage (ADLS), Azure SQL, and other Azure data services.
Optimize Spark jobs and Databricks notebooks for performance and scalability.
Implement data quality checks, validation rules, and monitoring processes.
Create and manage end-to-end data integration solutions across multiple data sources.
Collaborate with business stakeholders and data teams to understand data requirements.
Troubleshoot and resolve data pipeline and performance issues.
Follow coding standards, version control, and CI/CD best practices.
Support data warehousing and analytics initiatives.
Prepare technical documentation and maintain deployment artifacts.

📌 Azure Data Engineer Adf, Databricks, Python, Pyspark Bengaluru
🏢 Infosys
📍 Bengaluru