- Design and develop scalable data-processing applications using Apache Spark and Scala.
- Develop reusable frameworks, utilities, and Libraries and package them as JAR files.
- Deploy and execute Scala-based JAR applications on AWS Databricks clusters.
- Build and maintain high-volume batch and streaming data pipelines.
- Develop ETL and ELT workflows using Databricks, Spark, Scala, and SQL.
- Integrate Databricks with AWS services such as S3, Glue, IAM, Secrets Manager, CloudWatch, and Redshift.
- Experience working on Snowflake
📌 AWS Data Engineer (Chennai)
🏢 Tata Consultancy Services
📍 Chennai
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