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Google Cloud / Big Data Engineer - 100% Remote!

100% remote Flexible hours Hiring now

Quick Overview:

  • Location: Remote
  • Start Date: Immediate openings available
  • Position: Google Cloud / Big Data Engineer - 100% Remote!
  • Compensation: a competitive salary
  • Company: Workwarp

 

 

POSITION: Google Cloud / Big Data Engineer - 100% Remote!

PAY RATE: $65.00 - $70.00 per hour W2 (~$135k - $145k per year)

LOCATION: 100% "Forever" Remote (client is based in Phoenix, AZ

DURATION: 12-Months + Ext. (opportunity to convert permanent).

MISC: W2 applicants only please (we cannot sponsor any work Visas)

SUMMARY

Fortune 500 client in the Financial Services/FinTech sector is looking to hire a Big Data Engineer with strong GCP skills to join their team! This team develops customer-centric applications using emerging technology stacks that support a critical event-driven, microservices platform (which is moving exclusively to Google Cloud / GCP).

DESIRED SKILLS & EXPERIENCE

  • 4-5+ years of Big Data ecosystem and software engineering experience.
  • 3-5+ years' experience with Google Cloud Platform (GCP) and it's services.
  • 3+ years' experience with GCP BigQuery, GCP Compute Engine and Google Cloud Dataproc.
  • 2-3+ years of hands-on experience of working with Hadoop, Map-Reduce, Hive, Spark (core, SQL and PySpark).
  • Hands-on experience writing complex SQL (i.e., Hive/PySpark-dataframes & optimizing joins while processing huge amounts of data).
  • Ability to design and develop optimized data pipelines for batch and real-time data processing.

NICE-TO-HAVE (PLUS)

  • Experience with Kafka streams or queues.
  • Experience with GitHub and leveraging CI/CD pipelines.
  • Experience with NoSQL i.e., HBase, Couchbase, MongoDB.
  • Experience with Data Visualization tools like Tableau, Sisense, Looker.
  • UNIX shell scripting skills.
Apply Job!

 

Join Our Team!

This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.

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