Amazon Systems Development Manager AWS Cross Domain Services 

United States, Maryland 

345005545

Key job responsibilities
• Design, implement and support an analytical data infrastructure (S3 / Redshift)
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Apache Spark variants
• Build and maintain orchestration services for ML operations focused projects
• Maintain a high bar for data compliance and protecting customer privacy
• Collaborate with Product Manager, Analysts, and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
About the team
You will be working on the product analytics team supporting the Product and Marketing stakeholders for the Consumer Robotics organization. You will own the data engineering function for the team and partner with science and business intelligence team members to ensure they have the data infrastructure required to deliver insights and reporting to our organization.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Knowledge of distributed systems as it pertains to data storage and computing
- • Experience with writing, managing, and optimizing spark pipelines

- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- • Experience with orchestration tooling (Airflow, dagster, AWS step functions)