Global Performance Cockpit Developer
il y a 2 semaines
About ENGIE
ENGIE is a leading global group in low-carbon energy and services. Our mission is to accelerate the transition to a carbon-neutral world through more energy-efficient and environmentally friendly solutions, balancing economic performance with positive impacts on people and the planet. We leverage our key businesses (gas, renewable energies, services) to offer competitive solutions to our customers. With nearly 100,000 employees, we form a community committed to harmonious progress alongside our customers, partners, and stakeholders.
IT & Digital at ENGIE
Led by Biljana Kaitovic, Executive Vice President of IT & Digital, our team is dedicated to driving innovation and digital transformation across the organization. We strive to leverage cutting-edge technologies to enhance operational efficiency, customer experience, and sustainability.
The Opportunity: Global Performance Cockpit Developer
We are seeking a talented and passionate Data Engineer to join our growing team focused on developing and maintaining the Global Performance Cockpit (GPC). This platform provides critical insights into ENGIE's performance across various business units and functions, enabling data-driven decision-making at all levels.
Your Responsibilities:
- Design, develop, and maintain robust data pipelines to ingest and process large volumes of data from diverse sources.
- Develop and implement efficient SQL queries and Python scripts for data extraction, transformation, and loading (ETL).
- Collaborate with business stakeholders to understand their data requirements and translate them into technical specifications.
- Ensure the accuracy, integrity, and consistency of data within the GPC platform.
- Contribute to the development and maintenance of documentation for data models, pipelines, and processes.
- Stay abreast of emerging technologies and best practices in data engineering.
Your Qualifications:
- Bachelor's degree in business administration, computer science, data science, information science, or a related field.
- 3+ years of experience in Data Engineering or Data Science roles.
- Proficiency in Python and SQL.
- Experience with Spark/distributed computing is essential.
- Familiarity with version control (Git) best practices.
- Ability to translate business requirements into technical solutions.
- Strong communication and collaboration skills.
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