Dark Mode

    Free Trial

    Senior Data Engineer

    GYTPOL, a first-of-its-kind platform that automates and error-proofs configuration security for connected devices, is looking to hire a Senior Data Engineer to serve as our go-to authority on data architecture and data engineering.

    The individual selected, our first hire in such a role, will demonstrate a passion for learning cutting-edge technologies and will be tasked with building a production-ready large-scale data pipeline.

    Responsibilities:

    • Maintain ETL data pipelines
    • Construct SQL queries using ORM, manually optimizing queries when needed
    • Handle upgrades and data migrations
    • Maintain Airflow
    • Troubleshoot issues in production
    • Plan and execute architecture changes
    • Note: BI is not part of the responsibilities

    Requirements:

    • 5+ years building data pipelines
    • fluency in Python
    • Experience in writing raw SQL queries and optimizing ORM-emitted queries
    • Familiarity with the data engineering tech stack: ETL tools (Airflow, Spark, Kafka, SQS, RDS, DBT, etc.)
    • Experience working with/in cloud environments
    • Comfortable owning projects from end-to-end — taking initiatives from idea to production
    • Prior hands-on experience building large-scale data pipelines
    • Experience working with containers and Kubernetes
    • A self-starter with excellent problem-solving skills
    • Ability to work both independently and collaboratively as a highly motivated team player
    • Comfortable working in a remote or hybrid capacity
    • Great async written English communication skills