
Data Specialist Role
5 days ago
**Data Specialist Role**
We are seeking a skilled Data Specialist to join our team. As a key member, you will be responsible for ingesting, transforming, and delivering high-quality data to enable data-driven decision-making.
Main Responsibilities:
Design and implement scalable ELT pipelines using dbt on Snowflake, following industry-accepted best practices.
Build ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake.
Implement data modeling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.
Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.
Apply dbt best practices: modular SQL development, testing, documentation, and version control.
Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.
Apply CI/CD and Git-based workflows for version-controlled deployments.
Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks.
Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets.
Write well-documented, maintainable code using Git for version control and CI/CD processes.
Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions.
Required Skills and Qualifications:
3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and dbt.
Experience building and deploying dbt models in a production environment.
Expert-level SQL and strong understanding of ELT principles. Strong understanding of ELT patterns and data modeling (Kimball/Dimensional preferred).
Familiarity with data quality and validation techniques: dbt tests, dbt docs, etc.
Experience with Git, CI/CD, and deployment workflows in a team setting.
Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, or Azure Data Factory.
Benefits and Growth Opportunities:
Opportunity to work on diverse and challenging projects in a fast-paced consulting environment.
Collaborative work culture that values innovation and continuous learning.
Access to cutting-edge technologies and opportunities for professional growth and development.
Competitive compensation and benefits package.
About the Role:
This is a fantastic opportunity to join a dynamic team delivering impactful data solutions.
We are looking for a highly skilled Data Specialist who can bring innovative ideas and expertise to our team.
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