Lead Snowflake Data Engineer

Must be local to TX

Job Description:

Data Pipeline Development: Design, build, and maintain efficient data pipelines using Snowflake and DBT.

Data Modeling: Develop and optimize data models in Snowflake to support analytics and reporting needs.

ETL Processes: Implement ETL processes to transform raw data into structured formats using DBT.

Performance Tuning: Optimize Snowflake queries and DBT models for performance and scalability.

Data Integration: Integrate Snowflake with various data sources and third-party tools.

Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.

Data Quality: Implement data quality checks and testing to ensure the accuracy and reliability of data.

Documentation: Document data transformation processes and maintain comprehensive records of data models and pipelines.

Required Skills

Proficiency in SQL: Strong SQL skills for writing and optimizing queries.

Experience with Snowflake: Hands-on experience with Snowflake, including data modeling, performance tuning, and integration.

DBT Expertise: Proficient in using DBT for data transformation and modeling.

Data Warehousing: Knowledge of data warehousing concepts and experience with platforms like Snowflake.

Analytical Thinking: Ability to analyze complex data sets and derive actionable insights.

Communication: Strong communication skills to collaborate with cross-functional teams.

Problem-Solving: Excellent problem-solving skills and attention to detail.