Capgemini is seeking a Senior Snowflake AWS Developer to join their data engineering team to help leading organizations unlock the value of technology and build a more sustainable, more inclusive world by designing, developing, and maintaining scalable data pipelines.
Requirements
- deep expertise in Snowflake
- AWS cloud services
- data pipeline development
- strong understanding of data warehousing
- ETL/ELT processes
- performance optimization
- Python, SQL
Responsibilities
- Design, develop and maintain scalable data pipelines using Snowflake and AWS services (e.g., Lambda, S3, SQS, SNS, Step Functions, CloudWatch etc.).
- Implement and optimize ETL/ELT workflows for structured and semi-structured data.
- Ensure data quality, integrity, and security across all stages of the pipeline.
- Monitor and troubleshoot performance issues in Snowflake and AWS environments.
- Automate data ingestion and transformation processes using Python, SQL, and cloud-native tools.
- Participate in code reviews, documentation, and agile ceremonies.
Other
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions.
- 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
