Senior Data Engineer


Pasadena, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/26/2021
  • Website:
  • Company Address: 130 West Union Street, Pasadena, CA, 91103

About UberMedia

UberMedia provides the highest quality mobile data solutions trusted by businesses to creatively solve their persistent challenges.

Job Description

As a Senior Data Engineer, you will work within our engineering team to redefine, expand and optimize the data warehouse and data pipeline processes. You will also work with our data scientists, data analysts and product stakeholders to implement processes and infrastructure in order to support our data driven reports and analytics. These systems process billions of location data points per day. 

  • Design, build and maintain the data pipeline for ingress and egress of location-based data.
  • Build and optimize the data warehouse to allow for report generation and analytics.
  • Assemble large, complex data sets that meet business requirements.
  • Work closely with Data Scientists to bring new products to market.

Knowledge / Background

  • Extensive experience with object-oriented/object function scripting languages (Python)
  • Extensive knowledge and experience with big data technologies: Spark, Hive, Mad/Reduce, Hadoop
  • Advanced knowledge of AWS cloud services: EC2, EMR, RDS, Redshift, S3, Athena
  • Experience with UNIX/Linux including basic commands and shell scripting
  • Moderate experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Education:  While a Bachelor’s degree or above in Computer Science, Applied Mathematics, Engineering, or any other technology related field is great, an equivalent of this educational requirement in working experience is also accepted for this position.
  • At least 4 years of working experience working in a data engineering department, preferably as a Data Engineer in a fast-paced environment and complex business setting.

Must Have Skills

  • Experience breaking down complex problems into manageable steps to solve
  • Must be a team player with strong attention to detail, and also able to work independently
  • Proven track record at delivering timely and accurate information in a fast-paced environment
  • Ability to build rapport with product, project, and QA teams
  • Excellent critical thinking, problem solving, and mathematical skills, and sound judgment

Bonus Skills

  • Experience building and optimizing AWS data pipelines, architectures and data sets.
  • Familiarity with mobile location data intelligence infrastructure and industry
  • Moderate skill in business intelligence tools such as Tableau or Qlik
  • GIS background

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.