Straive - Senior Data Engineer - ETL/Python

Description :

About the job :

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 to 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)