ETL Databricks Data Engineer job opportunity at Capgemini SE.

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Capgemini SE ETL Databricks Data Engineer
Experience: Professional
Pattern: Permanent
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degreeHigh School (S.S.C.E)
Hiring inbound within Atlanta, GA

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, ILJob DescriptionWe are seeking a ETL Databricks Data Engineer to join our team and help build robust, scalable data solutions. This role involves designing and maintaining data pipelines, optimizing ETL processes, and collaborating with cross-functional teams to ensure data integrity and accessibility. Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL processes using Databricks.Create and optimize Python scripts for data transformation, automation, and integration tasks.Develop and fine-tune SQL queries for data extraction, transformation, and loading.Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.Ensure data integrity, security, and compliance with organizational standards.Participate in code reviews and contribute to best practices in data engineering.Required Skills & Qualifications5 years of professional experience in data engineering or related roles.Strong proficiency in Databricks (including Spark-based data processing).Advanced programming skills in Python.Expertise in SQL for querying and data modeling.Familiarity with Azure Cloud and Azure Data Factory (ADF).Understanding of ETL frameworks, data governance, and performance tuning.Knowledge of CI/CD practices and version control tools (e.g., Git).Exposure to BI tools such as Power BI or Tableau for data visualization.Life at CapgeminiCapgemini 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 DisclaimerCapgemini 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.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawSalary TransparencyCapgemini 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 $60000 - $70000/yearly.   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 Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with 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.

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