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Sr. Data Engineer
2 months ago
Amazon Global Selling central BI team seeks a highly skilled and motivated Senior Data Engineer to take the lead in owning the data foundation for the AGS business, continuously improving data quality and insight to empower global selling business expansion.
This role involves working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with new AWS technologies and complex datasets, proactively driving the optimal data architecture with the fast-changing business and technology.
Key Responsibilities:
- Data Warehouse Design, Development, Maintenance, and Optimization: Architect, build, and manage secure, flexible, and scalable data warehouse solutions, ensuring iterations adapt to the ever-changing global technology and new business demands.
- Performance Optimization: Write complex and efficient SQL queries for data manipulation, transformation, and aggregation, optimizing SQL queries to improve performance and efficiency.
- ETL Process Management: Design, implement, and maintain ETL (Extract, Transform, Load) processes, ensuring accurate and efficient data integration from various sources into the data warehouse and the optimal model to fit downstream usage.
- Data Quality and Governance: Implement data quality checks, balances, and controls to ensure the accuracy and integrity of data within the data warehouse, collaborating with Risk Control Management Team to ensure optimal data quality and compliance.
- Collaboration and Support: Work closely with the Global Team to ensure the data foundation is consistent with global standards and adapted to the latest technology, co-working with other business analysts, business intelligence engineers, and stakeholders to run the data foundation ecosystem and translate data needs to robust data solutions.
- Continuous Improvement: Stay informed of industry trends and advancements in AWS-based technologies, recommending and implementing improvements to processes and technologies to enhance data warehouse functionality and efficiency.
BASIC QUALIFICATIONS:
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or equivalent quantitative field.
- 5+ years of professional experience in data warehouse, including ETL and optimization for large (multi-TB+) data sets.
- Master in SQL and experience in scripting for automation (e.g., Python).
- Proven problem-solving skills, attention to detail, and exceptional organizational skills.
PREFERRED QUALIFICATIONS:
- Experience in data mining and using databases in a business environment with large-scale, complex datasets.
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Ability to deal with ambiguity and competing objectives in a fast-paced environment.
