Senior Data Engineer (Scala)

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

Regards,

Ankita