Job Summary

Need an experienced Data Engineer with solid expertise in Azure Databricks, Azure Data Services, and Python to design, develop, and optimize scalable data pipelines and analytics solutions.

Responsibilities

- Design, build, and maintain scalable data pipelines using Azure data services and Azure Databricks

- Develop and optimize ETL/ELT workflows for batch and real-time processing

- Implement data solutions leveraging Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Databricks

- Experience in writing SQL queries (SQL and Postgres DB)

- Write efficient, reusable, and scalable code in Python (PySpark preferred)

- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements

- Ensure data quality, consistency,



and governance across platforms

- Optimize data processing performance and cost efficiency in cloud environments

- Implement CI/CD pipelines and DevOps practices for data engineering workflows

- Monitor and troubleshoot production data pipelines and workflows

- Document data architecture, data flows, and technical designs

Requirements

- Strong experience in Azure Data Services, including: Azure Databricks, Python, SQL or Postgres

- Azure Data Factory (ADF)

- Azure Data Lake Storage (ADLS)

- Azure Synapse Analytics (or SQL Data Warehouse)

📌 Sr. Expert - Data Engineering (Bengaluru)
🏢 VOLKSWAGEN GROUP DIGITAL SOLUTIONS PRIVATE
📍 Bengaluru