Descrição do Perfil

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world s most innovative companies unleash their potential. Your Profile:More 7 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 AzureKnowledge and Hands on experience either with cloud platforms (AWS, GCP, or Azure), or in Linux OS.Experience with Devops and CI CD.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 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.Fluency in English is mandatory, and proficiency in additional languages advantageous.