Big Data Engineer

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Job Description



  • At least 8 years of IT experience.
  • 3 to 5 years of development experience in Big Data hadoop technologies.
  • Excellent and practical knowledge of Java/Python/Pyspark.
  • Experience or learning ability in NoSQL Technologies – MongoDB, DynamoDB.

Good to have:

  • Knowledge of relational databases and data architecture concepts.
  • Strong analytical, problem-solving, data analysis, and research skills. 

Technical Skills: Hadoop, SQL


  • 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 are aligned.
  • Design, build & maintain efficient, reusable & reliable code.
  • Test implementation, troubleshoot & correct problems.
  • Capable of working as an individual contributor and within a team too.
  • Ensure high-quality software development with complete documentation and traceability.
  • Fulfill organizational responsibilities (sharing knowledge & experience with other teams/ groups).

Experience: 6 to 9 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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Impetus is currently hiring Big Data Engineer Jobs in Irving, TX, USA with average base salary of $120,000 - $250,000 / Year.

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