Amazon Data Engineer 

India, Karnataka, Bengaluru 

543320687

Key job responsibilities
In this job, you will:• Build and improve Data Warehouse / Data Mart solution by translating business requirements into robust, scalable, and supportable solutions that work well within the overall system architecture.
• Design and Develop Dimensional Data Models to support Data Warehouse Architecture
• Develop functional databases, applications, and servers to support websites on the back end
• Write effective APIs
• Perform detailed source-system analysis, source-to-target data analysis, and transformation analysis
• Design and build data mappings from multiple source systems to data warehouse, maintaining source data integrity
• Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance .
• Evolve the Data Warehouse environment within the organization, including better information delivery mechanisms and methodologies
• Work to develop the best technical design and approach for new solution development.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's in Computer Science, or a related field and expertise with SQL and NoSQL databases (e.g. MySQL, MongoDB, PostgreSQL, Dynamo DB), web servers (e.g. Apache, Apache Tomcat)
- Expertise in Python/ R and experience with DevOps tools like Docker, Kubernetes with application deployment using CI/CD.
- Experience with distributed version control such as Git and basic knowledge of Linux environments

- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Knowledge of AWS Infrastructure
- Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.