Data Engineering Specialist for Finance and Analytics
4 days ago
Looking to leverage your data engineering expertise in a fast-paced environment? Amazon's Finance Technology team is seeking an experienced Data Engineer to join our mission of shaping the future of finance data platforms.
About the RoleWe're looking for a skilled Data Engineer with a passion for big data technologies and a knack for designing, implementing, and supporting scalable data solutions. As a member of our team, you'll work closely with cross-functional teams to deliver business-critical insights and drive decision-making. Your primary focus will be on building efficient ETL pipelines, designing robust data architectures, and ensuring seamless integration with various data sources.
Key Responsibilities:
- Design, implement, and maintain large-scale data warehouses and ETL processes using AWS technologies like Redshift, S3, and Glue.
- Collaborate with stakeholders to gather requirements, develop comprehensive BI solutions, and model data to support ad-hoc and pre-built reporting.
- Develop and maintain ongoing metrics, reports, analyses, dashboards, and other analytics tools to drive key business decisions.
- Tune application and query performance using profiling tools and SQL.
- Analyze and solve complex problems at their root, stepping back to understand the broader context.
About You
To succeed in this role, you should have:
- At least 3+ years of experience in data engineering, with a strong background in SQL, data modeling, warehousing, and ETL pipeline development.
- Experience working with non-relational databases and object storage solutions.
- Excellent business and communication skills to collaborate effectively with diverse teams and stakeholders.
Bonus: Salary Range $140,000 - $180,000 per year, depending on location and experience.
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