Sr. Software Engineer (Data Engineering- AWS)

About the position

This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.

Responsibilities

• Responsible for designing, developing, testing, operating and maintaining products
• Automating data ingestion, processing, and delivery
• Create documentation for data pipelines, processes, and best practices
• Align with enterprise architecture principles and best practices considering operational excellence, security, reliability, performance efficiency, cost optimization and sustainability
• Takes full stack ownership by consistently writing production-ready and testable code
• Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
• Performs analysis on failures, propose design changes, and encourage operational improvements
• Makes sound design/coding decisions keeping customer experience in the forefront
• Takes feedback from code review and apply changes to meet standards
• Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
• Accountable for ensuring all aspects of product development follow compliance and security best practices
• Embraces emerging technology opportunities and contributes to the best practices in support of the bank's technology transformation

Requirements

• Bachelor's degree, or equivalent work experience
• Minimum 10 years of Data Engineering/Analytics experience with 5+ years AWS cloud environment
• Experience designing and building data systems using Amazon Web Services (AWS)
• Experience building data models, data pipelines, and data storage solutions
• Experience building ETL (Extract, Transform, Load) pipelines and workflows, ensuring data quality and consistency
• Hands on with SQL, Programming (Python), PySpark, Scala
• Experience with scheduling tools Autosys, Airflow
• Experience using Amazon RDS for Oracle, AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, EC2, AWS DataSync, Amazon Elastic File System (EFS), S3, Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Simple Notification Services (SNS), Simple Queue Services (SQS), Lambda and AWS Step Functions, and AWS Key Management Service (KMS), AWS Identity and Access Management (IAM), AWS Data Lakes, Amazon EMR (Elastic MapReduce)
• Experience with CI/CD pipeline
• Implementing data governance policies
• Troubleshooting data-related issues and identifying performance bottlenecks
• Monitoring the performance and health of data pipelines and systems
• Knowledge of AI
• Understanding of Agile tools such as JIRA and Zephyr
• Demonstrating knowledge of Agile methodologies such as Scrum, XP, and Kanban

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law