Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data products supporting engineering, manufacturing, quality, and operational analytics.
• Develop robust ETL/ELT frameworks to ingest, transform, and deliver data from a wide range of enterprise and manufacturing systems.
• Implement and optimize cloud-based data solutions using Databricks, Apache Spark, and modern Lakehouse architecture principles.
• Ensure data quality, reliability, security, and governance across the entire data lifecycle.
• Create reusable, maintainable, and well-documented data engineering solutions that support long-term business scalability.