Big Data Specialist
Há 4 dias
About Us
Capgemini Engineering is a world leader in engineering services, providing innovative solutions to help companies unlock their potential. We have a global team of experts who work together to deliver cutting-edge R&D and engineering services across all industries.
Your Role
We're seeking a highly skilled Data Engineer to join our team. As a Data Engineer at Capgemini, you'll play a crucial role in designing, developing, and maintaining scalable and efficient data-centric applications and systems. You'll collaborate with cross-functional teams to implement new features and enhancements in cloud environments like AWS or GCP.
Some key responsibilities include:
- Leading initiatives and assuming leadership responsibilities;
- Designing and implementing data warehouses, ensuring efficient data retrieval for analytical purposes;
- Collaborating with teams to implement new features and enhancements in cloud environments;
- Building and optimizing data pipelines, ensuring reliability, scalability, and compliance with industry standards;
- Conducting thorough data analysis, modeling, and interpretation to drive insights and inform business decisions;
- Developing and maintaining ELT/ETL processes, focusing on data quality, reliability, and efficiency;
- Supporting ongoing AI & Analytics operations and systems, analyzing trends and insights;
- Communicating technical solutions and findings to diverse stakeholders;
- Embracing a data-driven, solution-oriented, and critical approach to work.
Your Profile
We're looking for candidates with:
- Significant experience in data engineering, preferably with expertise in building and maintaining data pipelines and systems;
- Strong understanding of data modeling, including SQL and NoSQL databases, and experience with distributed systems design;
- Proficiency in multiple programming languages, including Python, Java, and SQL, as well as familiarity with cloud platforms like AWS or GCP;
- Hands-on experience with big data technologies, such as Spark, and containerization tools like Docker;
- Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance;
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams;
- Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges;
- Experience with standard AI/ML processes and operations is a plus;
- Degree in computer science, software engineering, or a related field; and
- Fluency in English is mandatory, and proficiency in additional languages is beneficial.
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