- Bachelor’s degree in computer science, Software Engineering, Information Systems, or a related field.
- Typically, 4-7 years of relevant experience in Data Engineering, ETL, DWH, or data analytics decision support role, with some senior roles requiring total experience between 4 to 7 years.
- Strong handson experience with Databricks platform.
- Expert proficiency in SQL and Python (advanced querying, stored procedures, performance tuning).
- Extensive experience with ETL tools and platforms (e.g., SSIS, Azure Data Factory, Azure DataBricks).
- Deep understanding of data warehousing concepts (dimensional modelling, Kimball/Inmon methodologies).
- Familiarity with Big Data technologies (e.g., Spark, Hadoop, Kafka) for processing large
- Experience with version control systems (e.g., Git).
- Strong technical & analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into operational requirements
Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance.
Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.