Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
75% Travel
Skills
Analytical Skill
Cloud Computing
Collaboration
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Data Governance
Data Integrity
Data Warehouse
Database Administration
DevOps
Extract
Transform
Load
FOCUS
Incident Management
Performance Tuning
Problem Solving
Production Support
Python
Relational Databases
Reliability Engineering
SQL
Scalability
Scripting
Snow Flake Schema
Workflow
Job Details
Job Title: ETL/Snowflake Developer Support, Maintenance & SRE Engineering
Location: Minneapolis, MN (Hybrid 3 days onsite)
Job Overview:
We are looking for an experienced ETL/Snowflake Developer to join our team in a support and maintenance role with a focus on Site Reliability Engineering (SRE). This position is critical to maintaining the performance, reliability, and security of our data infrastructure.
Key Responsibilities:
- Provide production support and maintenance for ETL processes and Snowflake data warehouse.
- Monitor and troubleshoot data pipelines to ensure data integrity and availability.
- Optimize Snowflake performance and query execution.
- Collaborate with cross-functional teams to enhance data workflows and system reliability.
- Develop and maintain SQL scripts and Python-based automation for ETL processes.
- Contribute to SRE practices to improve system stability and scalability.
- Document operational processes and troubleshooting procedures.
Required Skills & Qualifications:
- ETL Development & Support: Proven experience in building and maintaining ETL pipelines.
- Snowflake Expertise: Deep understanding of Snowflake architecture, performance tuning, and administration.
- SQL & Database Management: Advanced SQL skills and experience with relational databases.
- Python Programming: Ability to automate and streamline data workflows using Python.
- SRE & Monitoring: Familiarity with monitoring tools, logging, and incident response in data environments.
- Analytical Thinking: Strong problem-solving skills for resolving complex data issues.
Preferred Qualifications:
- Experience in hybrid cloud/on-premise data environments.
- Familiarity with DevOps and CI/CD practices in data engineering.
- Understanding of data governance and security best practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.