Data Engineer

At Groups, Data Engineer will work closely with other data engineers, analysts, and software developers. As a Data Engineer focusing on dbt development in Snowflake, you will play a pivotal role in supporting care delivery and operations by transforming raw data into meaningful, business-ready datasets. This role requires strong experience with SQL query writing, data modeling, dbt, and Snowflake.

• Design, develop, and maintain scalable and optimized data models in dbt and Snowflake.
• Collaborate with business stakeholders, data analysts, and data scientists to understand data requirements and ensure robust data models that meet business needs.
• Implement and maintain dbt best practices, including version control, testing, and documentation to ensure quality and reliability in data pipelines.
• Optimize Snowflake queries, storage, and performance to ensure efficient data processing and retrieval.
• Continuously monitor and improve the performance of data pipelines and the overall health of the data infrastructure.
• Work with cross-functional teams to resolve data quality issues, implement data governance practices, and ensure data consistency and accuracy.
• Maintain clear and organized documentation for dbt models, transformations, and data workflows.

Knowledge, Skills and Abilities:

• Expertise with SQL and data modeling.
• Experience and appreciation for robust validation and documentation.
• Strong communication skills to collaborate with technical and non-technical stakeholders.
• Ability to explain complex technical concepts in simple terms.
• A passion for data and its potential to drive business value.
• Ability to work in a fast-paced environment and adapt to evolving business needs.
• Ability to understand and adhere to the Professional Code of Conduct.

Qualifications & Requirements:

Required:

• 3+ years of experience in data engineering, with a focus on building data pipelines and data transformations.
• Demonstrated proficiency with dbt, including experience in creating, maintaining, and optimizing dbt models.
• Expertise in Snowflake data warehouse development, including schema design, query optimization, and storage management.
• Strong knowledge of SQL and experience working with large datasets.
• Strong problem-solving skills and attention to detail, with the ability to work independently and as part of a team.

Preferred:

• Experience with Python or other programming languages used in data engineering.
• Familiarity with data governance frameworks and tools.
• Experience with data visualization tools like Looker, Tableau, or Power BI is a plus.
• Knowledge of other cloud platforms like AWS or Azure.