Data Engineer
4 semanas atrás
About the Role
As a Mid Data Engineer at Capgemini Engineering, you will be part of a global team of engineers, scientists, and architects who help the world's most innovative companies unleash their potential. Our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.
Your Responsibilities
• Design, develop, and maintain scalable and efficient data-centric applications and systems;
• Collaborate with cross-functional teams to implement new features and enhancements in cloud environments like AWS or GCP;
• Architect, build, and optimize data pipelines ensuring reliability, scalability, and compliance with industry standards;
• 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;
• Support ongoing AI & Analytics operations and systems, interpret trends;
• Communicate findings, proposals, and technical solutions effectively to diverse stakeholders;
Your Profile
• 4 or more 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 Python and one additional programming/querying language used for data engineering Java, SQL, NoSQLs or similar;
• Hands-on experience with cloud platforms like AWS or GCP or Azure;
• Knowledge and Hands-on experience either with cloud platforms (AWS, GCP, or Azure), and/or alternatively in big data technologies such as, Spark or other;
• Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design;
• Experience with distributed processing technologies and familiarity with tools like Airflow for workflow orchestration;
• 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;
• General knowledge in Containerization (Ex: Dockers);
• General knowledge in development best practices (CI/CD, GIT, Pipeline development, etc);
• Degree in computer science, software engineering, or in engineering domains;
• Fluency in English is mandatory, and proficiency in additional languages advantageous.
About Capgemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
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