DATA ENGINEER, Location: Bucharest

Angajator: SalesConsulting
  • IT Hardware
  • IT Software
  • Tip job: full-time
    Nivel job: 1 - 5 ani experienta
  • Job la nivel national
    Actualizat la: 26.02.2021
    Scurta descriere a companiei

    Sales Consulting activates on the HR market since 1998, having a national coverage in several areas of expertise: recruiting and selection assessment center HR market mapping/due diligence projects, personnel leasing, payroll.

    Sales Consulting has 2 fully operational branches: Cluj-Napoca (also the head-office) and Bucharest.
    We are developing various projects (Recruitment, Training and Consultancy) in some of the most varied type of industries:
    - AUTOMOTIVE/PRODUCTION/ENGINEERING (Specialists and Middle & Top Management positions)
    - IT & C (C++, C#, .NET, Java, Linux etc)
    - FMCG (sales & purchasing positions; all levels)
    - PHARMA (all levels)


    Our client is a multinational company specialized in IT outsourcing.

    — Minimum 3-8 years of experience with data modeling, data mapping, business glossary creation;
    — Extensive experience with defining and implementing data models (conceptual, logical, and physical);
    — Good to have design and development experience of domain data model (ideally Pharmaceutical Manufacturing, Supply Chain, Quality Assurance domains);
    — Expert on different data modeling methodologies;
    — Working knowledge of data modeling tools such as Erwin, ER/Studio, etc., data cataloging tools;
    — Experience in building data pipelines using spark (Scala or PySpark) on data bricks;
    — Development experience in the Amazon Cloud Environment AWS (S3, EMR, Databricks, Amazon Redshift, Athena);
    — Experience in working with REST APIs;
    — Ability to perform data manipulations, load, extract from several sources of data into another schema;
    — Ability to work with multiple file formats (JSON, xml, rdf, reports, etc.) and analyze data, if required for further processing;
    — Experience in DevOps is nice to have but knowledge about DevOps is required;
    — Understanding of core AWS services, and basic AWS architecture best practices;
    — Snowflake experience will be a plus;
    — Ability to understand requirements and changes to requirements;
    — Ability to understand business processes;
    — Strong written, verbal and listening communication skills.


    — Work with business stakeholders and subject matter expert (SME) to understand business processes and translate them into data models;
    — Develop and maintain conceptual and logical data models using data modeling guidelines from the clients;
    — Document and maintain business glossary in the enterprise data catalog solution;
    — Evaluate business data models and physical data models for variances and discrepancies;
    — Support project team in adopting business data models;
    — Guide project team to map physical data models to the business glossary.

    Alte informatii

    Only the eligible candidates will be contacted. Thank you for your interest!