Data Platforms Senior Engineer – Databricks

About the role

The Senior Data Engineer (ETL) will lead the design and development of scalable ETL pipelines for Waters’ Enterprise Data Lakehouse. This role requires a strong technical foundation, hands-on experience with Azure databricks, Pyspark, SQL, Python & GITHUB alongwith a strong understanding of standard data engineering practices, and the ability to work cross-functionally with business and technical teams

What you'll do

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes
• Develop and optimize data processing solutions using Databricks and Apache Spark
• Build data pipelines using PySpark, Python, and SQL
• Work with Databricks notebooks, workflows/jobs, clusters, and Delta Lake
• Implement incremental data processing and performance optimization techniques

What you need

• 4–7 yrs of experience
• Databricks
• SQL
• Python
• ETL
• Spark
• Data warehousing
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Azure Data Factory
• Data modelling
• Hadoop
• Kafka
• Git
• Azure