Azure Data Engineer
About The Position
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 byâ¯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 organizationsâ¯unlock the value of technology and build a more sustainable, more inclusive world. 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.
Requirements
- 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).
Nice To Haves
- Exposure to BI tools (Power BI, Tableau) for data visualization
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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
