Amazon Big Data Engineer AFX - Investments & Credits 

United States, Washington, Seattle 

799750597

Core responsibilities may include:
- Design data schema and operate internal data warehouses and SQL/NOSQL database systems.
- Design data models, implement, automate, optimize and monitor data pipelines.- Analyze and solve problems at their root, stepping back to understand the broader context.
- Manage Redshift/Spectrum/EMR infrastructure, and drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Work on different AWS technologies such as S3, Redshift, Lambda, Glue, etc. to provide new capabilities and increase efficiency.- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
- Conduct rapid prototyping and proof of concepts.
- Conceptualize and develop automation tools for bench marking data collection and analytics.Work/Life Balance
Mentorship & Career GrowthDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & 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.Work/Life Balance

- The role requires a bachelor's or master's degree along with extensive experience in data engineering, analysis, warehousing and modeling. Strong skills in SQL, NoSQL, Redshift and Oracle are essential. A minimum of 2 years of data analysis and 3 years of engineering experience is expected. Candidates should have experience delivering end-to-end projects independently, programming in modern languages, and designing systems from the ground up. Excellent knowledge of data warehousing concepts, large datasets, and performance tuning is important. Experience gathering requirements and defining business metrics for reporting is also required. Strong communication and presentation abilities are necessary to interface with business and technical teams.

- - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- - Prior experience in programming using Python
- - Any knowledge/skill on Data Science, AI/ML will be plus