Data Engineer
2 semanas atrás
About Capgemini Engineering
We are a global leader in consulting, technology, and outsourcing services, with a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, diversity, inclusion, a purpose of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
You will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for the client. You will work with other engineers and product teams to create the best-in-class data platform with leading capabilities to support the business solve the most critical challenges through data solutions.
Your Role
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, GCP, or Azure. Design, 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. 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. Team work in a data-driven, solution oriented and critical mind-set is greatly encouraged and valued. Proficiency in English is greatly valued.
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.
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