Senior Data Pipeline Engineer
2 semanas atrás
**About Capgemini Engineering**
We're a company that empowers our employees to shape their careers and grow professionally. Our collaborative community of colleagues around the world supports each other in exploring new opportunities and reimagining what's possible.
**Your Role**
In this role, you'll be responsible for designing and implementing scalable data pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis.
**Key Responsibilities**
- Develop and optimize ETL workflows to process large datasets efficiently
- Build and maintain data lakes and data warehouses using S3, Redshift, Athena, and Lake Formation
- Ensure data integrity, governance, and security through proper IAM policies, encryption, and compliance frameworks
**Requirements**
- Strong experience as a Data Engineer with expertise in AWS cloud environments
- Proficiency in Python, SQL, and Spark for data processing and transformation
- Hands-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda
**Nice to Have**
- AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect
- Experience with Machine Learning and AI/ML data pipelines in AWS
- Knowledge of serverless data engineering with Lambda and API Gateway
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