Description

• Optimize data pipelines that read from Kinesis and Write into Oracle improve exception handling for schema/data type mismatches and implement alerting for data quality issues.
• Build services to read/write data to NetApp object store using the S3 API.
• Create analytical datasets in Parquet or Iceberg format.
• Develop housekeeping scripts for cleanup, archiving, and compression of logs, Object store files, etc.

Core skill requirements:

• Strong Python/Java and data engineering expertise.
• Experience building and deploying data pipelines using frameworks like Spark, Flink and understanding of distributed data systems.
• Hands-on experience with real-time streaming architectures, REST APIs, and database connectors.
• Proficient with and Relational Databases (e.g. Oracle).
• Experience working with Amazon S3 APIs for data storage and integration

Key Skills

Education

Bachelor's degree