Senior Data Engineer FH

SOCOTEC

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profile Job Location:

Palaiseau - France

profile Monthly Salary: Not Disclosed
Posted on: 12 hours ago
Vacancies: 1 Vacancy

Job Summary

Within the SOCOTEC Data & AI Hub you will join a multidisciplinary team responsible for designing deploying and maintaining the groups Data architecture on an international scale.

You will contribute to the modernization of the SOCOTEC Lakehouse the core of the global analytics platform and participate in concrete data valorization projects from design to data visualization.

You will work on three main missions:

  • Develop end-to-end data pipelines (ingestion transformation modeling exposure) and contribute to the implementation of visualizations in Power BI or Databricks SQL.
  • Continuously improve the SOCOTEC Lakehouse particularly in the areas of governance quality and data pseudonymization.
  • Experiment with generative AI solutions applied to data such as Databricks GenIE to transform text queries into actionable insights.

The position requires perfect command of English for collaboration with our US teams.

The technical stack used:

  • Amazon Web Services (AWS)
  • Databricks
  • Fivetran
  • Spark for ETL pipelines
  • GitLab for source versioning
  • S3
  • Power BI the BI tool managed with the BI teams

At SOCOTEC careers are built with you towards what suits you best: technical expertise team management (data lead) etc.

You will have the opportunity to interact internationally (US UK ITA ESP NL) and international mobility opportunities are possible.

You will demonstrate autonomy insight and clear qualities in code writing and communication.


Qualifications :

  • Masters degree in Big Data Computer Science or Software Engineering with a strong specialization or appetite for data and distributed architectures.
  • Bilingual/native English level required.
  • At least 3 years of experience in Data Engineering.
  • Strong mastery of SQL and NoSQL databases (modeling optimized queries integrity and performance).
  • Good understanding of Big Data architectures and distributed processing tools (Spark Hadoop Airflow Kafka Delta Lake etc.).
  • Prior experience with Databricks would be appreciated.
  • Experience with collaborative development environments: Git GitLab Jupyter Notebooks VS Code.
  • Valued knowledge of AWS cloud services.
  • Familiarity with ETL/ELT principles Data Lakehouse and DataOps (CI/CD monitoring data quality).
  • Interest in emerging technologies particularly Generative AI and its integration into Data platforms.
  • Team spirit rigor and sense of collaboration in an agile environment.
  • Technical curiosity and ability to quickly learn new tools and paradigms.
  • Autonomy service-oriented mindset and taste for solving complex problems.

Additional Information :

By joining the Data & AI Hub you will enter an entity with a Start-up spirit. You will become a member of a young team with an HR policy focused on employee satisfaction.

To support you in your skills development SOCOTEC will fund two internationally recognized certifications: AWS Cloud Practitioner and AWS Certified Machine Learning Specialty.

You will take part in captivating large-scale projects where you will have a real role to play!

You will commit to the charter of values that form the foundation of the company:

  • Cohesion & Dynamism
  • Performance & Quality
  • Innovation & Technical Excellence

Remote Work :

No


Employment Type :

Full-time

Within the SOCOTEC Data & AI Hub you will join a multidisciplinary team responsible for designing deploying and maintaining the groups Data architecture on an international scale.You will contribute to the modernization of the SOCOTEC Lakehouse the core of the global analytics platform and participa...
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About Company

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A leader in its field, SOCOTEC has been the only international group 100% dedicated, for 70 years, to risk management and technical consulting in construction, real estate, and infrastructure. To support its growth, SOCOTEC is hiring 1,500 new employees in 2023. Working at SOCOTEC me ... View more

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