Data Warehouse Engineer Lead
2 weeks ago
As a Data Warehouse Engineer Lead at TASQ Staffing Solutions, you will be responsible for developing and configuring software systems using Snowflake Data Warehouse. Your typical day will involve applying your knowledge of technologies, applications, methodologies, processes, and tools to support our clients, projects, or entities.
We are looking for an experienced professional who can lead the development and configuration of software systems using Snowflake Data Warehouse. The ideal candidate will have a strong understanding of software development methodologies, processes, and tools, as well as experience in testing, debugging, and troubleshooting software systems.
The role requires collaboration with cross-functional teams to ensure the successful delivery of software systems. Strong communication and leadership skills are essential for this position.
Key Responsibilities- Lead the development and configuration of software systems using Snowflake Data Warehouse.
- Collaborate with cross-functional teams to ensure the successful delivery of software systems.
- Apply knowledge of technologies, applications, methodologies, processes, and tools to support our clients, projects, or entities.
- Ensure the quality of software systems through testing, debugging, and troubleshooting.
- Expert proficiency in Snowflake Data Warehouse.
- Proficiency in Microsoft Azure Data Services.
- Strong understanding of software development methodologies, processes, and tools.
- Experience in testing, debugging, and troubleshooting software systems.
- Experience in collaborating with cross-functional teams.
You should have at least 1 year of experience in Snowflake Data Warehouse. A strong educational background in computer science or a related field is also preferred. Additionally, certified SnowPro can be considered.
What We OfferWe offer a competitive salary of $120,000 per year, commensurate with experience, plus benefits and opportunities for growth and professional development. If you are passionate about data warehousing and leading high-performing teams, we encourage you to apply.
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