Key skills
AzureETLNoSQLPythonSDLCSQLDatabricksTime Management
About this role
Role Overview
- Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading (ETL) activities
- Gather requirements and business process knowledge to transform data in ways that meet end-user needs
- Create new SDLC processes as needed and maintain and improve existing processes
- Ensure data architecture is scalable and maintainable
- Collaborate with business stakeholders and colleagues to design and deliver accurate, high-quality data
- Investigate data to identify potential issues within ETL pipelines, notify end users, and propose effective solutions
- Prepare and maintain documentation for future reference
- Additional duties as assigned
Requirements
- Advanced SQL proficiency (query performance tuning, index maintenance, etc.)
- Strong knowledge of data modeling principles
- Deep expertise in Azure Databricks (3+ years of experience required)
- Deep expertise in Python (3+ years of experience required)
- Knowledge of various SQL/NoSQL data storage mechanisms and Big Data technologies
- Bachelor’s degree or equivalent preferred
- High attention to detail
- Strong organizational skills, including time management and planning
- Passion for complex data structures and problem-solving
- Ability to quickly learn new data tools and concepts
- Prior experience with Employee Assistance Programs or Leave Administration preferred
Tech Stack
- Azure
- ETL
- NoSQL
- Python
- SDLC
- SQL
Benefits
- Full benefits package
- Paid Time Off (PTO)
- Medical
- Dental
- Vision
- 401(k) with match
- Robust EAP
- Wellness program
- Much more