Databricks Data Analyst
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 experience in data analysis or related roles.
- Strong in Databricks for data processing and analytics.
- Advanced knowledge of SQL and Python for querying and data manipulation.
- Understanding of data visualization tools (Power BI, Tableau, or similar).
- Understanding of data modeling and relational database concepts.
Responsibilities
- Perform data analysis, interpret large datasets using Databricks and SQL-based queries.
- Use Python for data cleaning, transformation, and advanced analytics.
- Work with business and IT stakeholders to define requirements for data pipelines, ETL based on the business needs
- Collaborate with data engineers and business teams to ensure data accuracy and availability.
- Experience in data models, reports, and dashboards for business stakeholders.
- Ensure compliance with data governance and security standards.
- Support data engineering teams and business for testing (UT, SIT UAT)
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
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
