Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This job location is anywhere in USA. About the job you're considering Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform. Your role Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform. Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer. Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases. Ensure data quality, validation, and adherence to data governance and security standards. Develop infrastructure as code using Terraform or equivalent tools. Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies. Apply GCP security best practices, including IAM, networking, encryption, and compliance controls. Partner with business and technology stakeholders to translate technical designs into functional, efficient code. Act as a technical developer on cloud data modernization and GCP best practices. Support solution implementation, including testing, debugging, and production support. Your skills and experience Required: 3+ years of overall IT experience with 3+ years specifically in cloud data engineering. Required: Proven experience building and deploying GCP-based data pipelines. Background with large enterprise data programs across industries. Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow). Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL. Experience with CI/CD, Terraform, and DataOps practices. Exposure to AI/ML enablement on GCP (Vertex AI is a plus). Required: Google Professional Data Engineer Certification. Strong communication and stakeholder management abilities. Ability to explain technical concepts to technical and non-technical audiences. Experience working in global, distributed teams. Passion for innovation, engineering excellence #LI-SD1 The base compensation range for this role in the posted location is $43,984 to $105,600 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: - Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave - Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) - Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) - Life and disability insurance - Employee assistance programs - Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity: JOB LOCATION: Cambridge, MA POSITION: Senior Data Engineer POSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Senior Data Engineer with the following duties: Architect, develop, and maintain scalable, high-performance data infrastructure and pipelines to support advanced analytics, business intelligence, and data science initiatives; Design and implement data pipelines for structured and unstructured data from diverse sources; Lead the development and management of enterprise-level data lakes and data warehouses to enable efficient data storage, transformation, and integration; Build and orchestrate ETL/ELT workflows using SQL and Python to ensure reliable data processing; Design logical and physical data models to support analytical use cases; Collaborate with analysts and stakeholders to understand business requirements and deliver robust data engineering solutions on cloud platforms. 100% remote work allowed. The estimated salary range reflects an anticipated range for this position. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. REQUIREMENTS: Master’s degree in Computer Science, Data Analytics, Information Technology or related field plus 3 years of related experience. Prior experience must include: Design and maintain scalable data pipelines for structured and unstructured data; Implement and manage data lakes and warehouses; Develop and orchestrate ETL/ELT workflows for data transformation and integration; Design logical and physical data models to support analytics use cases. Full time. $162,553 - $242,353 per year. Qualified applicants can apply at https://jobs.takeda.com. Please reference job #R0177944. EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210 Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

• Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing • Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture • Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes • Take ownership of key data warehouse components and drive improvements in performance and reliability • Conduct architecture reviews and participate in system design discussions to provide technical leadership • Mentor and guide junior engineers, fostering a culture of quality and continuous learning

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. A culture of experimentation enables Netflix to continuously evolve and improve our products, delivering more joy to existing members and attracting new members from around the globe. Because experimentation is so pervasive at Netflix, we continually enable new capabilities and onboard new initiatives to the platform with close cross-functional collaboration with our Software Engineering, Data Engineering, and Data Science partners. At the nerve center of experimentation at Netflix is our internal, Netflix-wide, Experimentation Platform which accelerates innovation by enabling teams to rapidly learn from and act on their ideas. We are looking to add a data engineer to the team to improve the speed, reliability, and structure of our data pipelines that process billions of new events per day. These data pipelines are the foundation on which all experiment analysis at Netflix is built. Responsibilities - Work closely with data science and software engineering teammates to act as a strategic thought partner, solve emerging data needs, and ensure that our platform continues to deliver trustworthy and useful analysis results - Work closely with data engineering and data science partners to set and improve the standards for experiment analysis across Netflix, e.g. via better data contracts and data health - Design, build, operate, and maintain Spark data pipelines that process billions of allocation events per day and expose a silver layer in Iceberg - Develop new tooling and pipeline automation to meet emerging experimentation-related business needs Qualifications - Strong proficiency with technologies like Spark or Flink, comfort working with large scale datasets - Strong proficiency in data modeling, processing, automated testing, health, observability, and debugging - Fluency in at least one SQL dialect and proficiency in at least one programming language (e.g. Java, Scala, Python) - Excellent communication and collaboration skills - Ability to navigate ambiguous problem statements and solve for cohesive platform data solutions Curious to learn more about our experimentation culture at Netflix? Read up on experimentation culture at Netflix and browse the Netflix Research page. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.