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.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. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. YOUR ROLE Lead the design, development, and maintenance of scalable and efficient data-centric applications and systems, guiding and mentoring junior and mid-level engineers. Collaborate closely with stakeholders to define data strategies and roadmaps, aligning them with business objectives and ensuring their successful execution. Support the team by implementing complex functions Architect robust, scalable, and high-performance data solutions while ensuring compliance with industry standards and best practices. Provide expert-level guidance on data analysis, modeling, and interpretation, driving strategic decision-making processes within the organization. Oversee the implementation of advanced ETL/ELT processes while emphasizing data quality, reliability, and efficiency improvements. Drive innovation in data infrastructure and methodologies, constantly seeking ways to optimize costs and enhance performance. Act as a subject matter expert in data governance, metadata management, and ensuring adherence to data compliance regulations. Collaborate effectively across departments, offering thought leadership and presenting technical solutions to diverse stakeholders. YOUR PROFILE 8 or more years of experience in progressively responsible data engineering roles, showcasing leadership and mentorship qualities. Extensive proficiency in data warehouse design, implementation, and optimization, demonstrating expertise in complex problem-solving and architectural decisions. Advanced proficiency in multiple programming languages used for data engineering, showcasing versatility and adaptability to varied tech stacks (Python and SQL is mandatory) Extensive hands-on experience with multiple cloud platforms and services in AWS, GCP, or Azure, demonstrating expertise in leveraging various cloud services. Extensive knowledge operating systems (Linux preferable). Deep understanding and proven expertise in data modeling, including experience in designing and implementing complex distributed systems. Extensive experience with big data technologies, having led or contributed significantly to large-scale data processing projects. Demonstrated thought leadership in data governance, metadata management, and establishing best practices for ensuring data quality and compliance. Outstanding communication skills with a proven ability to effectively convey complex technical concepts to diverse audiences

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