Dear Candidates,
We are hiring for a Senior Data Engineer for our client in India, Remote - US Central Timezone
Exp: 5+ years
Job Location: Remote
Work Mode: Remote
Working Hours: US Central Timezone
Notice Period: Immediate to 30 days Max
Skills Required: Data Engineer, Scala, Python, Kafka, AI, Flink, Spark, Streaming, AWS
Role:
- 5+ years of Data Engineering experience.
- Strong Scala and Apache Spark.
- Experience building and owning production ETL/ELT pipelines.
- Streaming experience with Kafka, Kafka Streams, Flink, or similar.
- Apache Airflow.
- Comfortable with Java, Scala, Python, and configuration-heavy code.
- Strong data modeling, schema design, and source-to-target mapping.
- Data quality, validation, and production troubleshooting.
- Strong software engineering practices (testing, CI/CD, versioning).
- Ability to review AI-generated code.
Strong nice-to-have
- Flink expertise.
- ScyllaDB, Cassandra, DynamoDB, or other NoSQL platforms.
- Customer Data Platform (CDP), identity resolution, loyalty, clickstream, or booking data experience.
- Experience with SLAs, SLOs, observability, and monitoring.
- GitHub Copilot, Claude, Cursor, or similar AI-assisted development tools
Responsibilities:
- Design, build, and optimize batch and streaming data pipelines using Scala and Spark.
- Develop and support Kafka/Flink-based streaming solutions.
- Build and maintain Airflow DAGs, backfills, and production workflows.
- Design data models, schemas, and source-to-target mappings.
- Implement data quality controls, validation, and monitoring.
- Troubleshoot production issues and ensure platform reliability.
- Review and validate AI-generated code and maintain engineering quality standards.
- Own systems end-to-end, including performance, cost, scalability, and reliability.
If you find above job description relevant to your profile then do DM me or forward me your resume on [email protected]
Regards,
Ankita