Job Description
About the position U.S. Bank is seeking the position of Software Engineer - Data and Platform Engineering in Charlotte, North Carolina. The Software Engineer - Data and Platform Engineering is responsible for designing, implementing, and maintaining the CI/CD pipelines and workflows that support deployment, cloud-based applications and services for Customer 360 Unix and Database objects. Responsibilities • Design and develop DAGs (Directed Acyclic Graphs) using Apache Airflow to manage workflow orchestration for Customer360 business objects. • Write custom operators, sensors, and hooks. • Ensure data quality and implement data validation processes for each unique batch operation. • Develop batch and real-time scheduler to automate processing of Transaction and Operational data. • Develop programs to test, simulate, and design new pieces of automation software using Python or Scala. • Transition Analytics and Customer 360 applications to a cloud-first approach using Microsoft Azure. • Apply Dev/Ops mindset and take ownership of Customer 360 production success. • Develop data storage solutions and integrate databases using Azure data services. • Design and develop machine learning algorithms using AI/ML and deep learning applications. • Drive the release planning and execution for successful deployments of Customer 360 operational objects. • Develop high-quality code and define best engineering practices. • Document engineering artifacts such as technical design documents and flowcharts. • Collaborate cross-functionally with product owners, data scientists, and other engineers. Requirements • Master's degree in Computer Science or Technology Management plus 3 years of experience as a Software Engineer or Data Engineer. • Bachelor's degree in Computer Science or Technology Management plus 5 years of experience as a Software Engineer or Data Engineer in lieu of a Master's degree plus 3 years of experience. • 3 years of experience with Master's or 5 years of experience with Bachelor's in building data pipelines, extracting data from sources, performing data conversion or transformation, and building or developing ETL processes. • Experience with cloud platforms (Azure or Google Cloud), Python, Spark, Spark SQL, Teradata, Hadoop, HDFS files, .xml files, data models, Oracle, Informatica, Parquet, and Json. 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. Apply tot his job