Data Engineer Job Capgemini is an international leader in consulting, technology offerings, and virtual transformation. Headquartered in Paris, France, the organization became based in 1967 and has a presence in over 50 countries. Capgemini presents more than a few services inclusive of approach, IT, and engineering to assist organizations control their business operations and enhancing their virtual abilties. Renowned for its deep industry expertise, Capgemini collaborates with customers to innovate and put in force technology answers that force performance and increase. With a dedication to sustainability and inclusivity, Capgemini fosters a various and dynamic place of business, making giant contributions to the virtual and commercial enterprise landscape internationally.
- Job Role: Data & AI Engineering – Data Engineer
- Company: Capgemini
- Location: Ontario, Canada
- Employment Type: Full Time, Regular
- Job Category: Engineering & R&D Services
- Work Mode: Hybrid
Job Description of Data Engineer at Capgemini:-
As a Data Engineer at Capgemini, you will design, construct, and preserve records processing systems and pipelines. You will collaborate with statistics scientists, analysts, and other stakeholders to make certain that statistics is obtainable, reliable, and geared up for analysis.
Role & Responsibilities:-
- Design, increase, and optimize information pipelines and ETL procedures.
- Implement facts integration solutions to acquire and technique facts from numerous resources.
- Ensure data is exceptional and consistent throughout systems and programs.
- Develop and keep information warehouse answers.
- Collaborate with statistics scientists and analysts to apprehend statistics requirements and supply answers.
- Monitor and troubleshoot facts systems to make certain excessive availability and overall performance.
- Implement data protection and privacy exceptional practices.
Qualifications:-
- Bachelor’s or Master’s diploma in Computer Science, Information Technology, or a related field.
- Proven enjoy as a Data Engineer or in a similar function.
- Proficiency in SQL and experience with database technology (e.g., MySQL, PostgreSQL).
- Experience with huge records technology (e.g., Hadoop, Spark).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated statistics services.
- Strong programming capabilities in languages together with Python, Java, or Scala.
- Knowledge of information warehousing standards and equipment (e.g., Redshift, Snowflake).
Key Skills:-
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- Data Pipeline Development
- ETL Processes
- SQL and Database Management
- Big Data Technologies (Hadoop, Spark)
- Cloud Platforms (AWS, Azure, Google Cloud)
- Programming (Python, Java, Scala)
- Data Warehousing
- Data Quality and Security
Why Join Capgemini?
Joining Capgemini provides the opportunity to paint on present-day projects with a global effect. Capgemini offers dynamic and collaborative work, aggressive salaries, and comprehensive blessings. Employees advantage from expert improvement programs and clear career advancement paths. As a frontrunner in virtual transformation and technology services, Capgemini fosters a way of life of innovation, inclusivity, and sustainability, making it a perfect place for statistics engineers passionate about leveraging facts to power commercial enterprise fulfillment.
