Key Responsibilities: Develop, maintain, and optimize complex SQL queries and DBT models for business analytics and reporting. Analyze large datasets stored in Snowflake to extract actionable insights and support data-driven decision-making. Design and implement robust data pipelines using Python , ensuring data quality, integrity, and availability. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Leverage tools like Fivetran and Airflow to orchestrate and automate data workflows. Contribute to version control and CI/CD processes using Git and Jenkins . Support data infrastructure hosted on AWS , ensuring scalability and security. Document data models, processes, and best practices using tools such as SQL DBM . Required Skills and Qualifications: Primary Skills: Proficiency in Snowflake , Python , and SQL for data analysis and transformation. Experience with DBT for building scalable and modular analytics workflows. Secondary Skills: Familiarity with Fivetran for data ingestion and Airflow for workflow orchestration. Knowledge of Git and Jenkins for version control and automation. Experience with AWS cloud services for data storage and compute. Understanding of SQL DBM or similar tools for data modeling and documentation. Bachelors or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.