Job description

Position: Azure Data Analyst with SQL & Databricks Azure Data Analyst with SQL & Databricks 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. Job Location : Atlanta, GA / Chicago, IL (Hybrid) Job Description We are looking for a highly skilled Azure Data Analyst with deep expertise in SQL & Databricks to support our Client. The ideal candidate will work closely with data owners, business, and technical stewards to gather requirements, design data solutions, and support testing and documentation efforts across modern cloud-based data platforms. Key Responsibilities • Collaborate with stakeholders to gather and analyze business and technical data requirements. • Develop source-to-target mappings , technical specifications, and data dictionaries. • Lead data sourcing and ingestion activities within the Enterprise Data Lake (EDL). • Work with real-time data pipelines and Operational Data Hub (ODH) on Azure. • Design and implement scalable data solutions using Databricks and Azure services . • Write and optimize complex SQL queries for data analysis and transformation. • Create and maintain documentation including design documents , runbooks , and SOPs . • Support system and user acceptance testing to validate data solutions. • Use Azure Boards for task tracking and agile project management. • Perform data modeling and ensure alignment with governance and compliance standards. Required Skills & Experience • Expert-level proficiency in SQL for data querying, transformation, and analysis. • Hands-on experience with Databricks for big data processing and analytics. • Strong knowledge of Azure fundamentals , including data services and cloud architecture. • Experience with EDL (Sourcing, Ingestion), ASL , and real-time data processing . • Proven ability in requirement analysis , stakeholder engagement, and technical documentation. • Familiarity with Azure Boards , agile methodologies, and collaborative tools. • Strong understanding of data modeling , metadata management, and governance practices. Preferred Qualifications • Experience working with financial services data . • Certification in Azure Data Fundamentals , Databricks , or related technologies. 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 backup child/elder care and tutoring • Mentoring, coaching and learning programs • Employee Resource Groups • Disaster Relief 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. Salary Transparency 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…

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