AWS Data Engineer
Capgemini Vezi toate joburile
- București
- Permanent
- Full-time
We are seeking a skilled and proactive Data Engineer with hands-on experience in AWS Redshift, data pipeline development, and version control systems such as Git. The ideal candidate will be responsible for building, optimizing, and maintaining robust data pipelines and managing workflows that support our analytics and business intelligence initiativesYOUR ROLE
- Design, develop, and maintain scalable data pipelines using AWS Redshift, primarily S3 , Cloud 9
- Integrate and manage data workflows in Git repositories, including branching, pull requests, and version control best practices
- Optimize Redshift performance through best practices in schema design, data partitioning, and query optimization
- Monitor pipeline health and data quality; implement alerting and logging as needed.
- Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to understand data needs and deliver reliable datasets.
- Participate in code reviews, testing, and documentation.
- Bachelor's degree in computer science
- Extended hands-on experience in AWS Redshift, data pipeline development, and version control systems
- Proficient in - Git, Airflow, DBT
- Should have a good understanding of SDLC and Agile methodologies
- Basic knowledge of Python
- Good understanding of data warehouse architecture and cloud-based data engineering principles.
- Good to have domain knowledge of telecommunication industry
- Flexible and dynamic work environment involving teams spread across different global locations;
- Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society;
- Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera);
- Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).