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Data Engineer / Hadoop / Spark / Palo Alto

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Data Engineer / Hadoop / Spark / Palo Alto

A large soda organization is looking to add engineers to their lab location in Palo Alto. In this role, you will be building large, scalable platforms using the latest data technologies from the group up. You will work closely with product engineering teams and data scientists to tackle problems in personalization, content discovery, advertising, and content production.

Required Skills & Experience

  • BS or MS degree in Computer Science or equivalent work experience
  • Fluency in Python
  • Hands-on experience with SQL
  • Schema design and dimensional data modeling
  • Ability to manage and communicate data warehouse plans to internal clients
  • Experience designing, building, and maintaining data processing systems
  • Experience working with either a MapR or MPP system on any size/scale

Desired Skills & Experience

  • Hands-on experience with NoSQL
  • Experience with multiple data technologies and concepts like Airflow, Kafka, Hadoop, Hive, Spark, Columnar databases
  • Experience with specific AWS technologies like Glue, S3, Redshift, EMR, and Kinesis
  • Enjoy eating and drinking current products

What You Will Be Doing

Tech Breakdown

  • 30% Design
  • 30% Architecture
  • 40% Coding

Daily Responsibilities

  • 90% Hands On
  • 5% Management Duties
  • 5% Team Collaboration

The Offer

  • Competitive Pay: Up to $200K DOE 

You will receive the following benefits:

  • Medical & Dental Insurance
  • Health Savings Account (HSA)
  • 401(k)
  • Paid Sick Time Leave
  • Pre-tax Commuter Benefits

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Data Engineer / Hadoop / Spark / Palo Alto
  • Kayla Figone

  • Recruiter
  • Jobspring San Jose - OSD
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