Data Engineer, 5+ Years of Experience

Company:  Snap Inc.
Location: Seattle
Closing Date: 08/11/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

We're looking for a Data Engineer to join our Core Growth Team!

What you’ll do:

  • Work closely with stakeholders in engineering, product, data science, and governance to make high quality datasets available to consumers in a timely manner
  • Develop scalable data ETL pipelines that automate manual data processes, optimize data delivery, and adhere with privacy and governance principles
  • Implement and manage data warehousing solutions and ensure data integrity and quality through rigorous testing and validation
  • Build tooling and implement systems to overcome limitations of the data consumption portals when appropriate
  • Implement and maintain data security practices to ensure data privacy and protection, and compliance with data governance policies and regulations.

Knowledge, Skills & Abilities:

  • Experience in building data pipelines to serve reporting needs
  • Experience owning all or part of a team roadmap
  • Ability to prioritize requests from multiple stakeholders in disparate domains
  • Ability to effectively communicate complex projects to non-technical stakeholders

Minimum Qualifications:

  • BS/BA degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field
  • 5+ year experience in SQL or similar languages
  • 5+ years development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc)

Preferred Qualifications:

  • Hands-on experience with Google BigQuery, Spark, and Hadoop
  • Experience in version control systems such as Git, and workflow management tools such as Airflow
  • Experience in ETL tools and data architecture and warehousing experience
  • Experience leading a small team of data or software engineers
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities
  • Attention to detail and commitment to data quality

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