Lead Data Pipeline Engineer

3 weeks ago

Hyderabad, India Straive Full time

Job Summary We're looking for a Senior Data Engineer with 5-8 years of experience to build and maintain scalable, production-grade data pipelines. The ideal candidate is a strong software engineer with hands-on experience in Spark (3.X), Scala, SQL, and Python. You'll be responsible for designing and implementing ETL/ELT solutions, collaborating with teams to deliver data products, and mentoring junior engineers. Key Responsibilities Design and build data pipelines using Apache Spark 3.X, Scala, Python, and SQL . Tune Spark jobs for performance and cost. Ensure code quality with unit tests, CI/CD, and code reviews. Collaborate with platform and DevOps teams to deploy and monitor pipelines. Troubleshoot production issues and perform root-cause analysis. Qualifications 5-8 years of experience as a Data Engineer . Strong hands-on experience with Apache Spark 3.X . Proficient in Scala, Python, and advanced SQL . Experience with streaming frameworks (e.G., Spark Structured Streaming, Kafka). Knowledge of orchestration tools (e.G., Apache Airflow). Experience with cloud platforms like AWS Glue, EMR, Athena, Redshift, and S3 is a plus. Solid understanding of software engineering fundamentals (Git, CI/CD).

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