Overview:

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.

Responsibilities:

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.

Qualifications:

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.

Groups Recover Together, Inc. jobs

Data Engineer