Sr. Data Engineer, GS S&O - Operational Excellence

$139,100 - $240,500/Yr

Amazon - Dallas, TX

Full-time - Mid Level

Dallas, TX

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Sr. Data Engineer position at Amazon Web Services (AWS) focuses on designing, developing, and maintaining scalable data pipelines, data models, and data warehousing solutions. This role is crucial for ensuring data integrity, quality, and availability, enabling data-driven decision-making and supporting business intelligence initiatives within the organization. The Data Engineer will collaborate with various stakeholders to optimize data structures and implement robust ETL processes, contributing to the overall success of AWS Global Services.

Responsibilities

• Conduct data discovery and profiling for various data sources.
• Design and implement robust ETL pipelines to extract, transform, and load data.
• Develop and maintain efficient data ingestion processes.
• Design and develop effective data models and schemas for various data sources.
• Implement and maintain a centralized data warehouse architecture.
• Collaborate with stakeholders to understand data requirements and translate them into optimized data structures.
• Establish and enforce data governance policies and procedures.
• Implement data quality controls, monitoring, and reporting mechanisms.
• Continuously monitor data quality and implement remediation measures.
• Design and implement centralized data integration pipelines.
• Ensure seamless data integration and interoperability between different systems.
• Integrate propensity models with downstream systems and processes.
• Implement robust data security measures to protect sensitive data.
• Ensure data lineage and traceability across the organization.
• Continuously monitor data flows and optimize performance.
• Develop and implement data retention and archiving policies.
• Establish data disaster recovery and business continuity plans.

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL

Nice-to-haves

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses
• Experience mentoring team members on best practices
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Benefits

• Comprehensive medical coverage
• 401(k) retirement savings plan
• Employee stock purchase plan
• Paid time off and holidays
• Flexible work hours
• Career development and mentorship programs