Build and optimize scalable ETL/ELT pipelines integrating Oracle EBS/Fusion, enterprise applications, supply chain systems, and cloud analytics platforms using Databricks, PySpark, ADF, SQL, and BigQuery. Support ERP modernization and enterprise reporting initiatives.

Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Databricks.

Build and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data.

Develop and manage data integration solutions using Azure Data Factory (ADF).

Collaborate with data analysts, business stakeholders, and cross-functional teams to understand data requirements.

Optimize Spark jobs for performance, scalability, and cost efficiency.

Ensure data quality, governance, and security across data platforms.

Troubleshoot and resolve data pipeline issues while ensuring high availability.





Required Skills Strong hands-on experience with PySpark.

Experience working with Databricks for data engineering and analytics.

Hands-on experience with Azure Data Factory (ADF).

Robust knowledge of SQL and data warehousing concepts.

Good understanding of Azure cloud services and ETL processes.

Experience with performance tuning and optimization of Spark jobs.

Excellent analytical, problem-solving, and communication skills. Good to Have Experience with Power BI for reporting and dashboard development.

Knowledge of Azure Data Lake, Delta Lake, or Synapse Analytics.

Familiarity with CI/CD pipelines and version control tools such as Git.

📌 Data/ETL Engineer (Bengaluru)
🏢 Ascendion
📍 Bengaluru