Description
The Senior Data Engineer will design, develop, and maintain scalable data pipelines on Databricks using PySpark and Python, build ETL/ELT processes, optimize Delta Lake models and Spark workloads, and integrate data services with Java/Spring Boot applications through REST APIs and microservices. The role also covers data quality, monitoring, production support, CI/CD, architecture reviews, and collaboration with engineering and business teams, with a requirement of 7+ years of Data Engineering or Software Engineering experience.
