Data Engineer

  • Location
    Sacramento, California
  • Job Type:
    Direct Hire
  • Job reference:
    US_EN_8_864973_2855870

mplement systems and processes for the movement, enhancement, integration, quality, and availability of both structured and unstructured data.

Communicate directly with senior stakeholders on projects and show innovation and problem-solving skills in all elements of work.

Work with global clients and project teams across geographies and travel to client locations as and when required.

Collaborate and co-ordinate with others including data architects, application engineers, data analysts, and others.

Work with the data already stored in S3 buckets in AWS, using python, spark, SQL to transform, cleanse, apply business logic to that data (develop data products, automate transformation logic)

Required experience:

  • Bachelor’s or Master’s degree in areas such as Mathematics, Economics, Statistics, Analytics, Engineering, Computer Science, Information Technology, etc.
  • 2+ years of experience in data engineering
  • At least 1+ year of hands on experience in Python, PySpark/Spark, SQL
  • Good experience in cloud data technologies preferably AWS data analytics stack (equivalent Azure or GCP experience can be considered)
  • Experience with job/process automation
  • Exposure to agile development process
  • Excellent verbal and written communication skills
  • Preferred Requirements:

  • Background in marketing
  • Ability to teach/coach/mentor others virtually, especially for AWS and Spark topics
  • Exposure to Financial Services and Investment/Asset Management terminology
  • Experience working with data from Adobe Analytics, Email (response data and other metadata), Salesforce (DM, email- campaign execution), UNICA, MS Dynamic
  • Data analytics background


  • Equal Opportunity Employer/Veterans/Disabled

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    The Company will consider qualified applicants with arrest and conviction records