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Data Engineer

Data Engineer

StraiveHyderabad, India
1 day ago
Job description

Key Responsibilities :

  • Design, build and maintain scalable batch and (optionally) streaming data pipelines using Apache Spark 3.x, Scala, Python & SQL
  • Implement core ETL / ELT logic in Scala and Python; author efficient Spark DataFrame / Dataset jobs.
  • Write and optimize complex SQL for ingestion, transformation and consumption layers.
  • Tune Spark jobs for performance and cost : partitioning, join strategies, broadcast, memory / tuning, shuffle reduction.
  • Ensure code quality via unit tests, integration tests, CI / CD and code reviews.
  • Work with data modeling, schema evolution and data quality checks to ensure reliable outputs.
  • Collaborate with platform / DevOps teams to deploy and monitor pipelines (retries, logging, alerting).
  • Troubleshoot production issues and perform root-cause analysis.
  • Mentor and guide junior engineers, share best practices and drive improvements to the data platform.

Qualifications :

  • 5–8 years industry experience as a Data Engineer.
  • Strong hands-on experience with Apache Spark 3.x (development, tuning, debugging).
  • Proficient in Scala programming for Spark ETL / ELT development (datasets, RDDs when required).
  • Experience with streaming frameworks like Spark Structured Streaming, Kafka.
  • Proficient in Python programming.
  • Advanced SQL skills (complex queries, window functions, CTEs, query optimization).
  • Experience building production-grade ETL / ELT workflows, testing and monitoring them.
  • Experience with orchestration tools like Apache Airflow
  • Strong software engineering fundamentals : version control (Git), modular code, code reviews, CI / CD pipelines.
  • Experience with cloud object storage and common data formats (Parquet / ORC / Avro).
  • Strong problem solving, communication and collaboration skills.
  • Experience with AWS Glue, EMR, Athena, Redshift, S3 will be a plus.
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    Data Engineer • Hyderabad, India

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