Data Migration Engineer

About the job you are considering Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and across many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions. The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role As a Data Migration Engineer, you will be responsible for leading and managing data migration projects from a variety of platforms, both on-premises and in the cloud, to ensure the successful transfer of data across systems. You will leverage your expertise in database management, cloud platforms, and ETL tools to design and implement robust migration strategies. • Lead end-to-end data migration projects from legacy systems to modern data storage platforms. • Collaborate with cross-functional teams to understand data requirements, design data models, and execute migration plans. • Develop and optimize ETL processes using tools such as Informatica, Talend, Apache NiFi, Microsoft SSIS, and Pentaho. • Create and maintain complex SQL queries and scripts to support data extraction, transformation, and loading (ETL) activities. • Oversee cloud-based data migration to platforms such as Snowflake, Azure, AWS, Databricks, and GCP. • Ensure data integrity and security throughout the migration process, addressing issues related to data quality and validation. • Perform database tuning and performance optimization to ensure seamless migration and minimal downtime. Your Skills and Experience • Prior experience leading data migration projects across different platforms and environments. • Familiarity with data governance, compliance, and security practices. • Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. • Strong project management skills, with the ability to meet deadlines and deliver quality results. • Bachelor's degree in data science, Analytics, Business, or related field. Advanced degrees or certifications are a plus. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of ₠22.5 billion. #GetTheFutureYouWant| www.capgemini.comhe involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives.