Senior Data Engineer
1 week ago
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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