Sr. Data Engineer

Job Title: Sr. Data Engineer (SnapLogic/Snowflake/DBT) Key Responsibilities: Data Pipeline Development: Design, build, and maintain efficient data pipelines using ETL tools (preferably SnapLogic), 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 ETL tools (preferably SnapLogic) and DBT. Performance Tuning: Optimize Snowflake queries and DBT models for performance and scalability. Data Integration: Integrate data from various sources and third-party tools using ETL tools (preferably SnapLogic). 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. ETL Expertise: Proficient in integrating data from various sources (preferably using SnapLogic). 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: Exceptional problem-solving skills and meticulous attention to detail.