Data Engineer


  • Python
  • SQL
  • Data Engineering
  • Hive

Job Description

Job Title: Data Engineer

Duration: 6+ Months

Location: Menlo Park, CA (Remote opportunity)



  • Apply proven expertise and build high-performance, scalable data warehouse application.
  • Securely source external data from numerous global partners.
  • Intelligently design data models for optimal storage and retrieval.
  • Deploy inclusive data quality checks to ensure high quality of data.
  • Optimize existing pipelines and implement new ones, maintenance of all domain-related data pipelines.
  • Ownership of the end-to-end data engineering component of the solution.
  • Collaboration with the program's SMEs, data scientists.
  • Data Engineer will rotate on an On-Call shift as needed to support the team.



  • Experience in data engineering, proven expertise of applying.
  • DWH best practices.
  • Quickly coding and scripting experience with Python, SQL.
  • Knowledge in LAMP and the Big Data stack environments (Hadoop, MapReduce, Hive).
  • Competence with relational databases (Oracle, MySQL).
  • Experience working with enterprise DE tools.
  • Ability to learn in-house DE tools.


One of the below three skills:

  • Finance/Payments background (working in engineering team @ financial or payments org)
  • Risk Ops (working in engineering team @ Risk operations org)
  • Messaging Commerce ( like messenger , zoom etc..)



Thanks & Regards,


Brijesh Pandey

Senior IT Recruiter

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