Azure Data Engineer

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

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Job Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes using Databricks.
Design an develop Python scripts for data transformation, automation, and integration tasks.
Develop and optimize SQL queries for data extraction, transformation, and loading.
Collaborate with data scientists, analysts, and business stakeholders
Ensure data integrity, security, and compliance with organizational standards.
Participate in code reviews and contribute to best practices in data engineering

Required Skills

5-10 years of professional experience in data engineering or related roles.
Strong proficiency in Databricks (including Spark-based data processing).
Strong programming skills in Python
Advanced knowledge of SQL for querying and data modeling.
Familiarity with Azure cloud and ADF
Understanding of ETL frameworks, data governance, and performance tuning.
Knowledge of CI/CD practices and version control (Git).
Exposure to BI tools (Power BI, Tableau) for data visualization

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 nd 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 du
Disaster Relief

The base compensation range for this role in the posted location is: $103330 to $128656

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