Java & Databricks Developer
Develop scalable and high-performance ETL/ELT pipelines using Databricks and Spark.
Write efficient Java and SQL code for data processing and transformation.
Work with Databricks notebooks, Delta Lake, Spark SQL, and workflows/jobs.
Integrate data from multiple sources such as databases, APIs, files, and cloud storage.
Develop and optimize batch and streaming data pipelines.
Implement data quality, validation, error handling, and monitoring.
Optimize Spark jobs and Databricks workloads for performance and cost.
Collaborate with data engineers, software developers, architects, and business teams.
Participate in code reviews, testing, deployment, and production support.
Interested in this role?