Job Description

Job Title: Sr. Data Engineer (Snowflake/DBT) Key Responsibilities 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.