Role Overview
Collaborate with the IT Data Analytics team to design, build, and support scalable data solutions. Develop and optimize data pipelines, data lake, and data warehouse assets. Partner with analytics, product, business, and technology teams to deliver reliable, secure, and reusable data products.
What You Will Do
Design, develop, and maintain data pipelines, ETL/ELT workflows, and data integration solutions. Build and support trusted data products, including curated datasets, reusable data assets, semantic layers, and analytics-ready data models.
Why It Might Be a Fit
The ideal candidate will have experience with SQL, Python, ETL/ELT development, data modeling, and data quality practices. Experience with data platforms and tools such as Snowflake, Databricks, Azure, Power BI, or similar technologies is a plus.
Requirements
- Bachelor’s degree or higher
- Five (5) years of IT experience in the Data Analytics with experience in data engineering, data warehouse development, data pipelines, or data platform configuration
- Experience with SQL, Python, ETL/ELT development, data modeling, and data quality practices
- Experience with data platforms and tools such as Snowflake, Databricks, Azure, Power BI, or similar technologies
Benefits
- Competitive pay and benefits
- Medical, Dental & Vision
- Health Savings Accounts
- Health Care & Dependent Care Flexible Spending Accounts
- Disability Benefits
- Life Insurance
- Voluntary Benefits
- Paid Absences and Retirement Benefits
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