3+ years of experience working in data engineering or architecture role.
Expertise in ELT and data analysis and experience with SQL and at least one programming language (Python/R preferred)
Experience developing and maintaining data warehouses in big data solutions e.g., Snowflake
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred)
Experience with cloud service providers including AWS, Azure, or Google.
Database development experience using Hadoop, SPARK or Big Query and experience with a variety of relational, NoSQL, and cloud database technologies.
Experience with BI tools such as Alteryx, Tableau, Power BI, Looker.
Experience and/or knowledge of CI/CD (continuous integration and continuous deployment) practice using GitHub or Azure repos.
Conceptual knowledge of data and analytics, such as dimensional modeling, ELT, reporting tools, data governance, data warehousing, structured and unstructured data.
Familiarity with the Linux operating system
Familiarity with data engineering and workflow management frameworks such dbt.
Nice to have exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
An agile learner who brings strong problem-solving skills, and enjoys working as part of a technical, cross functional team to solve complex data problems.
Bachelor’s degree required; Computer Science, MIS, or Engineering preferred or equivalent experience.