Key skills
SQL proficiencyAzure DatabricksPythondata modelingBig Data technologiesSQLNoSQLETLDatabricksAzureSDLCTime Management
About this role
ComPsych is the worldwide leader in organizational mental health, well-being, and absence management. They are seeking a Data Engineer to design and develop a new Data Platform, focusing on building and maintaining ETL pipelines to ingest data from various sources while collaborating with business stakeholders to meet data requirements.
Responsibilities:
- 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.) and understanding of database structures
- 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
- 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
- Bachelor's degree or equivalent preferred
- Prior experience with Employee Assistance Programs or Leave Administration preferred