Snowflake Data Engineer

Role Overview: As a Data Engineer specializing in Snowflake/Sigma at Indium, your role will involve developing automated data pipelines and data stores in Snowflake. You will be responsible for designing, implementing, testing, debugging, and deploying these solutions. Additionally, you will collaborate with business analysts to groom stories and implement them in an agile team environment. Your expertise will be crucial in providing technical advice and assisting end-users in problem-solving while continuously learning new skills to enhance the product. Key Responsibilities: - Develop automated data pipelines and data stores in Snowflake - Build metadata-driven solutions that are reusable and highly configurable - Automate testing and deployment in Snowflake across Azure - Partner with business analysts to groom stories and implement them - Work in an agile team to iterate quickly and release solutions - Provide technical advice and assist end-users in problem-solving Qualifications Required: - Minimum of a B.S. in Computer Science, MIS, or related degree with 3+ years of related experience - In-depth knowledge of Snowflake, SQL, Javascript, Data Vault 2.0 or Dimensional Data Model - Experience with Data Pipelines, Relational or Columnar databases, Sigma reporting or Power BI or Tableau, Agile methodologies Scrum or KANBAN, CI/CD pipeline, Azure cloud services - Experience with one or more of ALTERYX, Python, DBT, Confluence, and ADO (Note: The additional details about Indium's dedication to diversity, equity, and inclusion are omitted in the job description.),