- Sr. Data Engineer, Snowflake
- Location/HYBRID: Chicago, downtown - 3 days per week
- Duration: 6 months+
- Role Overview
- Design, build, test, and maintain software programs and data applications. Responsibilities include researching, designing, documenting, and updating software specifications throughout the development lifecycle, troubleshooting and resolving software issues promptly, and providing status updates as needed.
Responsibilities:
- Design and implement scalable ETL/ELT pipelines in cloud environments
- Develop and optimize data models and SQL queries for performance
- Orchestrate, schedule, and monitor data pipelines
- Build dashboards and reporting/BI solutions for self-service analytics
- Apply data warehousing and dimensional modeling best practices
- Support large-scale datasets and analytical reporting needs
- Collaborate with stakeholders, analysts, and engineering teams to deliver data-driven solutions
Requirements:
- Strong experience with cloud data warehousing platforms (e.g., Snowflake), including data modeling, performance tuning, and SQL development
- Hands-on experience with workflow orchestration tools (e.g., Airflow)
- Experience with BI/analytics platforms (e.g., ThoughtSpot) for reporting and dashboards
- Proficiency in SQL and data integration technologies
- Solid understanding of data governance principles
- Strong communication and cross-functional collaboration skills
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Senior Data Engineer
Forbes Technology Council
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