Data Engineer

Location: Charlotte, NC

Face to Face Interview

Key responsibilities for the Data Engineer:

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.

Data Engineer

Key skills