Job Overview
Job TitleData Engineer
Job TypeFull Time
Offered Salary€60,000
LocationPalaiseau, Île-de-France, France
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Job Description
About EDF R&D and the SEQUOIA Department
At the intersection of essential challenges, join EDF, an internationally recognized group committed to the energy transition. Within EDF R&D at the EDF LAB Paris Saclay site, our mission is to contribute to the performance of the group's operational units. You will join the SEQUOIA department, specifically the 'Customer Consumption Analysis, Supply Offers' group, composed of about twenty research engineers.Your Missions
- Configure infrastructures appropriately and optimally for users who manipulate data.
- Identify constraints and technical components for collecting, storing, and manipulating data from various internal or external sources.
- Make data available by organizing it optimally for Data Scientists, Data Analysts, or various developers who will process the data.
- Ensure the operation and monitoring of data flows and applications deployed in production.
- Structure databases (semantic, format, etc.) within the data lake as needed.
- Participate in Proofs of Concept (POCs) to test and qualify new solutions proposed by IT services, depending on ongoing activities.
- Proactively suggest improvements to the technical foundation (data access, integration, storage, and valorization) when components become obsolete.
- Leverage AI to master tools and technologies for optimizing data flows, including real-time data processing systems and the integration of AI algorithms into data pipelines.
- Work on automating large-scale data management and with architectures adapted to increasingly complex Machine Learning and Deep Learning models.
Qualifications and Desired Skills
- Education: Bac+5 (Engineering degree, Master's in Applied Mathematics, Statistics, Artificial Intelligence, or Data Engineering).
- Technical Skills: Data modeling, data quality assurance with monitoring indicators, relational or NoSQL databases, Big Data storage and processing, automated data flows using ETL tools, programming (specifications, design, development, testing).
- Cross-functional Skills: Communication, problem-solving, project management.
- Tools: Data analysis and visualization tools (PowerBI, Dash, Grafana, Kibana), Cloud platforms (Amazon AWS, Microsoft Azure, Google Cloud Platform).
- Experience: Previous experience is appreciated.
- Additional Advantage: Knowledge in data science and experience in Big Data processing.
Key skills/competency
- Data Engineering
- Big Data
- ETL
- Data Modeling
- Data Warehousing
- Cloud Platforms (AWS, Azure, GCP)
- Data Visualization
- Python/SQL
- Machine Learning
- Data Pipelines
How to Get Hired at EDF
- Tailor your resume: Highlight your experience with Big Data, ETL, data modeling, and cloud platforms like AWS, Azure, or GCP, emphasizing your Bac+5 qualification and any relevant project experience.
- Showcase technical skills: Clearly list your proficiency in programming (Python/SQL), NoSQL/relational databases, data visualization tools (PowerBI, Grafana), and ETL processes.
- Demonstrate problem-solving: Prepare examples of how you've identified technical constraints, optimized data flows, and contributed to innovative data solutions.
- Emphasize AI/ML interest: Mention any exposure to AI, Machine Learning, or Deep Learning applications within data engineering contexts, showing your forward-thinking approach.
- Network and research: Understand EDF's commitment to the energy transition and R&D initiatives to align your application with their mission.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific data engineering tools does EDF R&D value for this Data Engineer role?
02What is the expected experience level for the Data Engineer position at EDF R&D?
03How does EDF R&D integrate Artificial Intelligence into the Data Engineer role?
04What are the key responsibilities of a Data Engineer within the EDF R&D SEQUOIA department?
05Does EDF R&D encourage proposing new technical solutions for data management?
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