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Data Engineer

CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄAbout the company

60,00–120,00
net (+ VAT) / hr.
  • Company location
    Warszawa
    Warszawa, Masovian
  • Work location
    whole Poland (remote work)
  • offer expired a year ago
  • contract of employment, B2B contract
  • full-time
  • specialist (Mid / Regular)
  • home office work

Technologies we use

Expected

  • SQL

  • Microsoft SQL Server

  • PostgreSQL

  • Python

  • Microsoft Azure

Optional

  • Azure Synapse

  • Azure Data Factory

  • Azure DevOps

About the project

AI - DATA & ANALYTICS - XOPS

Your responsibilities

  • Designing and implementing modern cloud-based solutions;;
  • Optimizing database design for higher performance;
  • Design, building, and launching of new data models and data pipelines;
  • Implementing best practices in data engineering including data integrity, reliability, validation, and documentation and improving discoverability of data.

Our requirements

  • Experience in SQL and data analysis, knowledge of relational databases (preferably SQL server, PostgreSQL);
  • Experience with at least one programming language (Python preferred);
  • Knowledge of public cloud architecture (MS Azure preferred);
  • Knowledge of Data Warehouse issues, experience in data modeling and ETL/ELT development;
  • Conceptual and analytical skills - the ability to extract, analyze and document complex business and technical requirements.

Optional

  • Knowledge of Azure Synapse, Azure Data Factory is an advantage;
  • Knowledge of the Azure Devops environment is an advantage.

This is how we organize our work

This is how we work

  • in house
  • you have influence on the choice of tools and technologies
  • you have influence on the technological solutions applied

What we offer

  • Stable employment (employment contract, B2B);
  • Remote work as the basic form of performing duties. This allows you to work from anywhere;
  • Work in a company full of well-coordinated people who do their work with passion and commitment;
  • Opportunities to develop and learn new technologies;
  • Work on various projects related to Big Data and Cloud.

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