Senior Data Engineer

8 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

  • Minimum 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.
  • High proficiency in Python, Scala and Spark for applied large-scale data processing.
  • Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.
  • Solid understanding of batch and streaming data processing techniques.
  • Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.
  • Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
  • Experience with RDBMS and OLAP databases like MySQL, Snowflake.
  • Familiarity with Agile methodologies.
  • Obsession for service observability, instrumentation, monitoring, and alerting.
  • Knowledge or experience in architectural best practices for building data lakes.

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