Energy & Utilities l Data Engineer

Devoteam

Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organizations across EMEA, with a revenue of €652M. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 18 EMEA countries. Become one of our +8.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

Job Description

  • Building data systems and pipelines;
  • Analyze and structure raw data;
  • Assessing needs and goals;
  • Supporting the continuous operation of data pipelines;
  • Evaluate complex data analyses and explore the results;  
  • Prepare data for prescriptive and predictive modeling.

Qualifications

  • Bachelor’s degree in the IT area or equivalent;
  • Up to 6 years’ experience;
  • Practice in the methodology and realization of architectural design surveys of analytical systems (database, database replicas, datalakes, and other storage systems, ETL, CDC, Spark transformations);
  • Knowledge  in the methodology and design of a Data Efficiency program for reducing data duplication, simplifying database replicas, simplifying processes that materialize data in intermediate steps, increasing the use of virtualization techniques, using hot/cold/archive, methodologies for finding unused data, automatic pruning, reducing time series resolution in older periods;
  • Experience in technically supporting data engineering and conceptual data modeling actions.

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