- Can I apply
- Open to any education · Senior level
- Pay
- Pay not stated
- Source
- From the company's careers page · today
- How to apply
- On PWC's site: account needed, ~10–15 min
Early: posted 1 h ago on their own site
Data Platforms Senior Engineer – Databricks
Waters Corporation·Bengaluru
Pay not stated4–7 yrsFull-time
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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
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