Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements
Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
Mentor team members to build and enhance their data engineering skillsets and professional growth
Assist management in project definition, including estimating, planning, and scoping work to meet objectives
Also responsible for other duties/projects as assigned by business management as needed

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area
4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud)
4-7 years Hands-on development using and migrating data to cloud platforms
4-7 years Experience in SQL, NoSQL, and/or relational database design and development
4-7 years Advanced knowledge and experience in building complex data pipelines with Python
Experience in languages such as SQL, DAX, Python, Java, Scala, and/or Go
Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)

Senior Data Engineer, Big Data

Key skills