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Data Analytics Engineer

Data Analytics Engineer

thatgamecompany is best recognized for creating award-winning, enriching, and meaningful game titles such as Journey, Flower, and flOw. Our most recent game, Sky, is our most complex undertaking to date. It is a social network built around the values inherited from a powerful humanistic story. It is a live experience continuously evolving inside a global online theme park.

We are seeking passionate engineers to help us build various data-centric products and solutions that will help us process and gain insights from terabytes of data per day generated by millions of active players

As a Data Analytics Engineer, you will serve a crucial role as a nexus between all teams in the studio, gathering requirements, inspiring data projects, and helping facilitate agreement on data availability, standards, and quality.

On any given day at thatgamecompany, you might:

• Design and implement the ETL to grab data from Postgres, MongoDB, or a variety of external data sources and store it all in our GCP Data Warehouse
• Write and Optimize SQL queries and tables to provide quick, efficient, and intuitive access to our data
• Help brainstorm and investigate potential solutions for challenges like Realtime Data Aggregation, Hack Prevention, Player Behavior Analysis, and Data Visibility
• Monitor job health and respond to any failures or bugs so our downstream users can trust data accuracy
• Help codify our knowledge, processes, pipelines, and schemas into readable documentation

We expect you to:

• Have deep passion and thoughts for video games; be a gamer and think on behalf of players.
• Be comfortable taking risks and aim for never-been-done engineering achievements
• Enjoy working with fast-moving and rapidly-growing small teams

Must Haves:

• 2+ Years of Experience in Software Development, ideally in the realm of data
• Experience writing clean, efficient Python, Java, or Scala code
• Experience writing optimized SQL Queries for analysis and building custom data sets
• Some exposure to a modern Cloud Platform, preferably AWS or GCP
• Some knowledge or experience with Big Data Processing Tools
  • Like BigQuery, Redshift, Snowflake, Spark/Beam, Hadoop
• Comfortable using Git for Source Control
• An eye for data quality and ability to build tests, reporting, and alerting mechanisms for visibility
• Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built, why you built it
• Eager to learn any new technology and always open to jump out of your comfort zone.

Nice to Haves:

Any of the following would be highly preferred, but most of all, we value engineers who are eager to learn and contribute to the team:

• Familiar with tools in the Python Data Stack (Pandas, Airflow, Flask, Plotly)
• Familiar with tools in the GCP Data Stack (BigQuery, PubSub, Dataflow, Cloud Functions)
• Experience with CICD or IAC (Terraform)
• Experience with a data visualization tool like Tableau or Looker
• Familiarity with Agile methodology
• Interest in Data Science or Machine Learning

We look forward to meeting you!