Job Description

Dear Candidates,

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We are hiring for a Senior Data Engineer for our client in India, Remote - US Central Timezone

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Exp: 5+ years

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Job Location: Remote

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Work Mode: Remote

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Working Hours: US Central Timezone

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Notice Period: Immediate to 30 days Max

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Skills Required: Data Engineer, Scala, Python, Kafka, AI, Flink, Spark, Streaming, AWS

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Role:

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5+ years of Data Engineering experience.
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Strong Scala and Apache Spark.
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Experience building and owning production ETL/ELT pipelines.
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Streaming experience with Kafka, Kafka Streams, Flink, or similar.
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Apache Airflow.
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Comfortable with Java, Scala, Python, and configuration-heavy code.
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Solid data modeling, schema design, and source-to-target mapping.
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Data quality, validation, and production troubleshooting.
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Robust software engineering practices (testing, CI/CD, versioning).
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Ability to review AI-generated code.
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Solid nice-to-have

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Flink expertise.
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ScyllaDB, Cassandra, DynamoDB,



or other NoSQL platforms.
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Customer Data Platform (CDP), identity resolution, loyalty, clickstream, or booking data experience.
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Experience with SLAs, SLOs, observability, and monitoring.
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GitHub Copilot, Claude, Cursor, or similar AI-assisted development tools
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Responsibilities:

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Design, build, and optimize batch and streaming data pipelines using Scala and Spark.
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Develop and support Kafka/Flink-based streaming solutions.
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Build and maintain Airflow DAGs, backfills, and production workflows.
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Design data models, schemas, and source-to-target mappings.
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Implement data quality controls, validation, and monitoring.
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Troubleshoot production issues and ensure platform reliability.
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Review and validate AI-generated code and maintain engineering quality standards.
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Own systems end-to-end, including performance, cost, scalability, and reliability.
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If you find above job descriptio

📌 Senior Data Engineer Pune (India)
🏢 Intellias
📍 India