Data & AI Engineer - Sr Data Engineer

Data & AI Engineer - Sr Data Engineer Join to apply for the Data & AI Engineer - Sr Data Engineer role at Capgemini. Name of the position: Sr. Data Engineer (Python & Spark) Reports to: Team Lead/Delivery Manager Department/Project: Engineering As a Senior Data Engineer, you will build distributed data processing solutions and highly loaded database solutions for various business cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of a self‑organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision‑making at a company dealing with billions of events per day. Responsibilities Obtain tasks from the project lead or Team Lead (TL), prepare functional and design specifications, and approve them with all stakeholders. Ensure that assigned area/areas are delivered within set deadlines and required quality objectives. Provide estimates, agree task duration with the manager and contribute to the project plan of assigned area. Analyze scope of alternative solutions and make decisions about area implementation based on experience and technical expertise. Lead functional and architectural design of assigned areas. Ensure design decisions on the project meet architectural and design requirements. Address area‑level risks, provide and implement mitigation plan. Report about area readiness/quality, and raise red flags in crisis situations beyond the AOR. Resolve crisis situations within the AOR. Design, develop and implement large‑scale, high‑volume, high‑performance data models and pipelines for Data Lake and Data Warehouse. Develop and implement data quality checks, conduct QA and implement monitoring routines to improve the reliability and scalability of ETL processes. Initiate and conduct code reviews, create code standards, conventions and guidelines. Suggest technical and functional improvements to add value to the product. Continuously improve your professional level. Collaborate with other teams. Qualifications University degree in Computer‑Related Sciences or similar. 5+ years experience in data engineering, business intelligence, or a similar role. Proficiency in Python. Expert in database fundamentals, advanced proficiency in complex SQL and distributed computing. 5+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP. Experience with Spark, Snowflake & Databricks. Ability to debug Spark jobs. Experience with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms. Excellent communication skills and experience working with technical and non‑technical teams. Ability to pass a hacker‑rank code test. Experience with AWS (EC2/S3/IAM). Knowledge of reporting tools such as Tableau, Superset and Looker. Strong Python coding skills with expert data migration experience. Life at Capgemini Flexible work. Healthcare including dental, vision, mental health and well‑being programs. Financial well‑being programs such as 401(k) and Employee Share Ownership Plan. Paid time off and paid holidays. Paid parental leave. Family building benefits like adoption assistance, surrogacy and cryopreservation. Social well‑being benefits such as subsidized back‑up child/elder care and tutoring. Mentoring, coaching and learning programs. Employee Resource Groups. Disaster Relief. 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Equal Opportunity Employer Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. 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. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. 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 accommodations do not pose an undue hardship. 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. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. #J-18808-Ljbffr