Job
Description
Role Overview: As a Senior BI (Snowflake) Data Engineer at Accuris, you will be responsible for data modeling, transformation, governance, and advanced analytics enablement within the enterprise data platform. Your expertise in Snowflake and modern data engineering practices will play a crucial role in shaping the data ecosystem to support business intelligence, advanced analytics, and AI-driven insights. Key Responsibilities: - Communicate effectively with executive sponsors, partners, and stakeholders to ensure collaboration and knowledge sharing. - Architect and optimize Snowflake data models for BI dashboards, analytics, and semantic layers. - Build reusable and cost-efficient automated ELT/ETL pipelines for BI consumption. - Collaborate with BI developers to ensure Snowflake data structures are business-ready and efficient. - Research and apply new-age analytics tech to enhance BI outcomes. - Act as the Snowflake subject matter expert for BI projects, providing proofs-of-concept, best practices, and governance. - Utilize advanced Snowflake features such as Time Travel, Zero Copy Cloning, Streams, Tasks, Snowpipe, and Snowpark. - Integrate Snowflake with BI tools and workflow/orchestration platforms. Qualifications Required: - 7+ years of hands-on data engineering experience, with at least 3 years in Snowflake. - Proficiency in SQL with advanced window functions, CTEs, and optimization strategies. - Experience in data modeling, ETL/ELT orchestration tools, and programming languages like Python. - Familiarity with BI/Analytics ecosystems such as Power BI and Tableau. - Strong problem-solving skills, communication ability, and stakeholder engagement. - Certification(s) in Snowflake (SnowPro Core / Advanced Architect / Data Engineer). - Exposure to data governance frameworks like lineage, cataloging, and metadata management. (Note: The additional details about the company were omitted as the JD did not provide specific information relevant to this section.),
