Responsibilities
- Designing and Implementing Data Solutions:
- Create blueprints for data storage processing and access using AWS services like S3 Glue EMR Kinesis by considering factors like performance scalability security and cost-effectiveness. Lakehouse and ETL: Component design and build of Lakehouse Solution on AWS using Lambda EMR and EKS for compute resource and Iceberg and S3 as Storage resource.
- Design and implement ETL (Extract Transform Load) pipelines to move and transform data from various sources into the Lakehouse across Bronze Silver and Gold layers.
- Data Delivery for Consumption: Design for data access for querying with Athena Integration of Iceberg Tables in Glue Catalog with Snowflake for Analytics and Reporting Big Data Solutions: Working with large datasets and distributed computing using services like EMR (with Spark) to process and Streaming solution with Kinesis Kafka
- Data Governance and Security: Ensuring data quality compliance with regulations (like GDPR) and implementing security measures to protect sensitive information.
- Collaboration and Communication:
- Working with stakeholders (business analysts data scientists developers) to understand their needs and translate them into technical solutions.
- You'll need to explain complex concepts clearly.
- Skills AWS Cloud Expertise: Deep understanding of core AWS services (S3 EC2 EKS EMS VPC IAM Glue Athena ) AWS certifications (e.g. Solutions Architect Big Data Specialty) are highly valued.
- Data Warehousing and Modeling: Strong knowledge of dimensional modeling schema design and data warehousing principles.
- ETL and Data Pipelines: Experience with tools and techniques for data extraction transformation and loading.
- Big Data Technologies: Familiarity with Hadoop Spark Hive and other big data frameworks. Databases: Proficiency in SQL and experience with relational databases are must and nice to have NoSQL databases (like DynamoDB) experience.
- Programming: Python with PySpark hands on coding for automation and data processing tasks. Data Governance and Security: Understanding of data security best practices access control and compliance requirements.
- Qualifications Education: A bachelor's degree in computer science engineering or a related field is usually expected. Experience: 10+ years of experience
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
• Disaster Relief
Disclaimer
Capgemini 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-law
