Job Openings Data Engineer (Labrador Park)

About the job Data Engineer (Labrador Park)

  • Develop infrastructure improvements and initiatives for the data platform, including areas such as data observability, Infrastructure-as-Code, and DataOps.

  • Design, build, and maintain data pipelines across the medallion lifecycle from raw (bronze) to consumption-ready (gold) data.

  • Develop data models using appropriate methodologies (e.g., Data Vault 2.0, Kimball).

  • Implement data governance policies to manage data access and ensure compliance.

  • Collaborate on data quality pipelines to monitor and remediate data issues with domain owners and data stewards.

  • Co-develop master and reference data tables and publish them for organizational use.

  • Develop domain expertise across various organizational functions, such as HR, Finance, Product, and Infrastructure.

  • Ensure reliability and security of the data platform to minimize downtime for critical data products.

  • Act as subject matter experts for the platform technology stack, including Databricks, Tableau, MicroStrategy, etc.

  • Provide guidance to teams on building, maintaining, and optimizing data pipelines in Spark.

  • Conduct feasibility assessments, proof-of-concepts, and production rollouts for best-in-industry tooling (e.g., dbt, Neo4j, Fivetran, Apache Atlas).

  • Support development and mapping of the organizations data estate across all units.

Requirement:

  • Strong skills in SQL and Python (knowledge of Spark or distributed computing is a bonus).

  • Experience with data modelling and data architecture concepts.

  • Experience with data platform tools such as Databricks, Snowflake, Cloudera, etc.

  • Experience managing data infrastructure on cloud providers such as AWS, Azure, or GCP.

  • Knowledge of data management concepts including data access, data quality, and data security.

  • Driven and motivated team player who can work independently.

  • Passion for championing improvement initiatives and a desire to continuously enhance processes.

  • Willingness to learn, share knowledge, and mentor other team members

    • Duration/ Working hours:

    1 year contract (Immediate)

    42 hours per week

    ** We regret to inform only shortlisted candidates will be notified.


    Or refer someone