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Data Developer

Inetum · Bucharest, Bucharest, Romania · Hybrid

  • IT Services & Consulting
  • 10,001+ employees
  • St.-Ouen, Île-de-France

Weak hiring record · median 108 days open

8585

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 60% of this employer's openings are over 60 days old
  • This role has been posted 3 times

In its favour

  • Still listed on the employer's own board

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Data Developer at Inetum. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • Collaborates with business stakeholders and IT application owners to understand, document, and design data warehouse processes.
  • Contributes to the definition, development, and implementation of data warehouse solutions.
  • Creates and maintains data mapping logic to transfer content from various source systems into the data warehouse.
  • Designs, develops, tests, optimizes, and deploys ODI packages, Oracle stored procedures/packages, Databricks jobs to perform ETL functions.
  • Plans and coordinates ETL and database rollouts alongside project teams, developers, and database engineers.
  • Provides support, maintenance, troubleshooting, and resolution for ETL processes.
  • Designs and establishes technical frameworks for the data warehouse.
  • Experience in Data Modelling and Source System Analysis.
  • Expert in SQL and PL/SQL.
  • Experienced with ETL processes and tools such as ODI or other ETL technologies, as well as working with large-scale databases.
  • Python skills would be considered an advantage
  • PySpark knowledge would be considered an advantage
  • Capable of performing data profiling, cataloging, and mapping for the design and construction of data flows.
  • Experience with data visualization and exploration tools.
  • Solid understanding of data warehouse concepts.
  • Skilled in database design, modelling, and analyzing large datasets.
  • Exposure to diverse configurations, technologies, and processing environments.
  • Proficient in advanced performance tuning techniques for complex data transformations.
  • Experience within the banking sector is advantageous.
  • Fast learner, able to master the functionalities and applications of new technologies.
  • Familiarity with Agile methodology is a plus.
  • Proficient in English.

Soft Skills

  • Strong analytical and problem-solving abilities, with the capacity to translate business needs into actionable data-driven solutions.
  • Excellent communicator, able to convey complex concepts clearly to both technical and non-technical audiences.
  • Effective team player with strong interpersonal and collaborative skills.
  • Able to manage multiple tasks simultaneously and deliver quality results within deadlines.

Benefits

  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical insurance
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings

The working mode is hybrid

2 days/week in the office.

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