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R Systems is looking for a senior data/BI engineer to drive enterprise BI and data warehouse initiatives in a hybrid setting. You will lead a team, design scalable data models, and integrate AI/GenAI capabilities into analytics platforms.
We expect 10+ years in data/BI, 5+ years leading teams, and hands-on with Snowflake, Redshift, Airflow, dbt, and major BI tools. Hybrid work is available with onsite presence in West Sacramento, CA.
Job Type: Long term contract
R Systems is a global leader in technology and analytics services, delivering innovative solutions to drive digital transformation across industries like Telecom, Banking, Healthcare, and Public Services. With over 4,400 professionals in 25+ countries, we are committed to helping our clients achieve operational excellence and enhanced customer experiences.
We are proud to be Great Place to Work® Certified™ in 10 countries, including India, the USA, Canada, and more. Our vibrant team culture fosters collaboration, innovation, and growth, making R Systems a fantastic place to work.
Join us in creating impactful solutions and advancing technology for a better tomorrow.
1. At least ten (10) years of experience in data/BI engineering or analytics.
2. At least five (5) years of experience in leading a team (at least 3 members) to implement enterprise-level BI and/or large data warehouse solutions.
3. At least five (5) years of experience working with AI/ML or GenAI technologies.
4. At least two (2) proven deliveries of production-grade BI or data products (dashboards, data models, APIs).
5. At least two (2) years of experience with ETL/ELT pipelines, data warehousing platforms such as Snowflake, Amazon Redshift, and orchestration tools (Airflow, dbt, etc.).
6. At least two (2) years of experience using OpenAI APIs or similar LLM platforms, building natural language to SQL/query systems, designing prompt strategies for business insights and analytics, and prompt engineering to guide the platform's system behavior.
7. At least two (2) years of experience in SQL (advanced joins, window functions, performance tuning), data modeling (star/snowflake schemas, semantic layers), and hands-on experience with at least one major BI tool such as Power BI, Tableau, Looker.
8. At least two (2) years of experience leading a team of analysts and developers, as well as collaborating with stakeholders, to discover, document, and implement requirements and stakeholder requests for data warehouse or business intelligence projects.