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Data Engineer

  • Seniority:

    Mid

  • Work model:

    Remote

  • Language:

    English

  • We are seeking a talented and experienced Data Engineer – Modeller to join our client’s Technical Operation Domain team. If you are passionate about data, have a strong analytical mindset, and thrive in a collaborative environment, we want to hear from you!

  • Responsibilities:

    As a Data Engineer , you will play a crucial role in supporting the data product owner in understanding and translating business needs into data requirements for supply chain processes and systems. Key responsibilities include:

    • Collaborating with use case leads and analysts to elicit and analyze data needs and usage patterns across different consumers and use cases.
    • Translating business requirements into user stories and models in collaboration with engineers.
    • Assisting the test lead in understanding data and its relation to acceptance criteria to implement effective data verification test cases.
    • Accessing source system GBT and querying data on the pipeline.
  • Requirements:

    • 2 years of working with a programming language focused on data pipelines (e.g., Python or R).
    • 1 years of experience working on GCP, Cloud (AWS/Azure/Google) or other cloud platforms (optional).
    • 1 years of experience in data pipelines maintenance.
    • 1 years of experience with different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.).
    • 1 years of experience in working with data architecture concepts (in any of the following areas: data modeling, metadata management, workflow management, ETL/ELT, real-time streaming, data quality, distributed systems).
    • 2 years of experience working with SQL.
    • Exposure to open-source and proprietary cloud data pipeline tools such as Airflow, Glue, and Dataflow (optional).
    • Very good knowledge of relational databases (optional).
    • Very good knowledge of Git, Gitflow, and DevOps tools (e.g., Docker, Bamboo, Jenkins, Terraform).
    • Very good knowledge of Unix.
    • Good knowledge of Java and/or Scala.
    • Strong analytics skills to effectively translate business needs into data requirements.
    • Knowledge of supply chain processes and systems to operate within the business context.
    • Ability to collaborate with use case leads, analysts, and engineers to ensure data requirements are met.

Data Engineer