Big Data Engineer (PySpark)

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Job Description

  • Experience in working on Spark framework, good understanding of core concepts, optimizations, and best practices
  • Hands-on experience in writing code in PySpark,
  • Understanding of design principles and OOPS
  • Experience in writing complex queries to derive business critical insights
  • Understanding of Data Lake vs Data Warehousing concepts
  • Knowledge on Machine learning would be an added advantage
  • Experience in NoSQL Technologies – MongoDB, Dynamo DB

Department: Cloud & Data Engineering

Open Positions: 4

Skills Required: Bigdata, PySpark, Spark, OOPS


  • Design and implement solutions for problems arising out of large-scale data processing
  • Attend/drive various architectural, design and status calls with multiple stakeholders
  • Ensure end-to-end ownership of all tasks being aligned
  • Design, build & maintain efficient, reusable & reliable code
  • Test implementation, troubleshoot & correct problems
  • Capable of working as an individual contributor and within team too
  • Ensure high quality software development with complete documentation and traceability
  • Fulfill organizational responsibilities (sharing knowledge & experience with other teams/ groups)
  • Conduct technical training(s)/session(s), write whitepapers/case studies/blogs etc.

Education/Qualification: Bachelors

Years Of Exp: 6 to 11 Years

Company Info.


Impetus is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities, and technology expertise. Leverage our big data solutions for automated warehouse transformation (Impetus Workload Transformation Solution), real-time streaming and batch analytics (StreamAnalytix,) and rapid application development on Spar

  • Industry
    Information Technology
  • No. of Employees
  • Location
    720 University Avenue, Los Gatos, CA 95032, USA
  • Website
  • Jobs Posted

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