Capgemini is seeking a Senior Data Engineering Lead with over 5 years of experience in data engineering and Azure cloud technologies. The role involves leading development teams and managing stakeholders to deliver high-quality data solutions.
Join to apply for the Senior Data Engineering Lead role at Capgemini 6 days ago Be among the first 25 applicants Join to apply for the Senior Data Engineering Lead role at Capgemini About The Job You’re Considering We are seeking a highly experienced Senior Data Engineering Lead with minimum 5+ years’ experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts. About The Job You’re Considering We are seeking a highly experienced Senior Data Engineering Lead with minimum 5+ years’ experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts. Your role • Lead development teams, drive project timelines, and ensure high-quality deliverables. Your Skills And Experience • Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL. • Azure Expertise: Proficient in Microsoft Azure Cloud Services. • Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. • Minimum of 5 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud. • Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling. • Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory. • Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management. • Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc. • Analytical Skills: Strong analytical and problem-solving skills. Life at Capgemini Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer • 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 like 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. Get the future you want | www.capgemini.com Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity 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. 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. Capgemini is committed to providing reasonable accommodations 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 [Link available when viewing the job] /> 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. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $153,300 - $170,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Companys sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Job Programmer/Analyst Schedule Full-time Primary Location US-CA-San Francisco Organization I&D Seniority level • Seniority level Not Applicable Employment type • Employment type Full-time Job function • Job function Information Technology • Industries IT Services and IT Consulting, Business Consulting and Services, and Outsourcing and Offshoring Consulting Referrals increase your chances of interviewing at Capgemini by 2x Get notified about new Senior Data Specialist jobs in San Francisco, CA. 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