To drive innovation and efficiency in the organization by modifying and enhancing data architecture and automation
Requirements
2+ years of ETL experience
2+ years of experience with SQL, Shell Script, Python, JSON
2+ years of data integration experience
2+ years of data visualization experience
2+ years of data/software engineering experience
Intermediate knowledge of SQL and Python (YAML – if applicable)
Intermediate knowledge of Data Tools including querying, scripting, analysis, ETL, and command line interfaces
Intermediate knowledge of cloud-based infrastructures and services relevant to data processing, data automation and data platform/processing troubleshooting
Responsibilities
Implement data services, structure/models and movement infrastructures
Provide and implement preventative solutions and troubleshoot data job failures, such as error handling, data manipulation and I/O processing
Implement database concepts and practices, including definition and query language
Modify, enhance, and influence requirements and architecture specifications of data warehousing systems and/or processing infrastructure
Collaborate with stakeholders to design, implement, and support end-to-end data solutions across multiple platforms, environments, domains, and locations
Independently develop reporting processes, programs, and solutions following established standards
Other
Ability to perform in-depth and independent research and analysis with some oversight from the manager
Ability to apply appropriate level of data maintenance, data quality control and validation of code, tools, and models as directed
Ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future
Office environment
Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
