Data Engineering Expert for Cloud Data Platforms
1 semana atrás
We are Capgemini Engineering, a leading technology partner driving innovation and growth. At the heart of our mission is empowering individuals and organizations to achieve more through data-driven solutions.
Company Overview
We are part of the Capgemini Group, a global leader with over 270,000 team members in nearly 50 countries. Our sectors include aeronautics, automotive, communications, energy, life sciences, software & internet, space & defense, and consumer products.
About This Role
You will be part of a central data enterprise team within the data technology pillar, focused on building cutting-edge data platforms that drive business success. You will collaborate with cross-functional teams to design, develop, and maintain scalable and efficient data-centric applications and systems.
Your Mission
Design and develop robust data pipelines ensuring reliability, scalability, and compliance with industry standards.
Collaborate with product teams to implement new features and enhancements in cloud environments like AWS, GCP, or Azure.
Conduct thorough data analysis, modeling, and interpretation to drive insights and support decision-making processes.
Create and maintain ELT/ETL processes, focusing on data quality, reliability, and efficiency.
Evaluate, recommend, and implement improvements in data infrastructure and methodologies to reduce costs and enhance performance.
Support ongoing AI & Analytics operations and systems, interpret trends.
Communicate findings, proposals, and technical solutions effectively to diverse stakeholders.
Your Profile
At least 2 years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications.
Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes.
Proficient in at least programming/querying languages used for data engineering such as Python and SQL, NoSQLs, or similar languages.
Knowledge and hands-on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OS.
Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design.
Experience with big data technologies such as Spark or other distributed processing technologies.
Familiarity with tools for workflow orchestration such as Airflow.
Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance.
Excellent communication skills and the ability to collaborate effectively in cross-functional teams.
Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges.
Familiarity with standard AI/ML processes & operations is greatly valued.
Degree in computer science, software engineering, or other engineering domains.
Proficiency in English is mandatory. Additional languages are an advantage.
Career Opportunities
This role offers a competitive salary, estimated around $120,000 - $150,000 per year, depending on location and experience. Benefits include comprehensive health insurance, retirement plans, and opportunities for career growth and professional development.
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