This job listing expired on Sep 24, 2021
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Senior Data Engineer position lies at the forefront of developing the core units of data tech stack for analytics at BARB. Working closely with the Backend, Network and LiveOps teams you will help design, provision and deploy technologies and solutions for data ingestion/warehousing pipelines, operational monitoring systems, deployment systems and security. As a part of the Insights team you will ensure best practices are being used in using/applying implementation to data storage and operations, including all ETL/ELT pipelines. Additionally, you will have an opportunity to mentor fellow co-workers to expand overall team skills.

Responsibilities:

  • Be in the driver seat of developing, deploying and maintaining Data/Analytics tech stack
  • Design, develop, deploy and maintain data ingestion, transformation and storage solutions
  • Bring into production ingestion/ETL pipelines with data streaming from diverse sources, internal and external alike
  • Oversee and ensure smooth scaling processes to deliver necessary data capacities with the growth of product
  • Recommend new tools to improve current stack and solve data needs efficiently
  • Maintain in-depth knowledge of data ecosystem and trends; be a subject matter expert

Requirements:

  • 3+ years experience as a Data Engineer
  • Strong grasp of database operation, management and design
  • Experience in deploying and maintaining data solutions and pipelines to support Analytics/Data Science workflows
  • Able to develop/unit test and deploy complex data & analytic solutions
  • Strong knowledge of Data Warehousing solutions (ex. Snowflake / BigQuery etc)
  • Strong knowledge of SQL, Python, knowledge of other languages (ex. Java/Scala/C++) is a plus
  • Experience with Linux/Unix systems, CLI, bash scripting
  • Experience with some of the Big Data technologies (Spark, AWS, Azure Cloud, Hadoop)
  • Experience working with dev ops tools (ex. Jenkins)
  • Experience with version control systems (ex. Git)
  • Working knowledge of Agile processes and workflow

Bonus:

  • Knowledge in deployment tech like Docker/Kubernetes
  • Experience in cloud infrastructure management/operation (AWS/Azure/GCP or other)
  • Understanding of Data science tools and pipelines, as well as Machine Learning infrastructures
  • Passion for video games
  • Desire to work in a unique “AAA Start-up” environment