Data Engineer(Snowflake)

You are a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL. Your role involves designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. **Key Responsibilities:** - Design and implement scalable data models and transformation pipelines using DBT on Snowflake. - Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. - Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. - Optimize Snowflake performance through query tuning, clustering, and resource management. - Ensure data quality, integrity, and governance through testing, documentation, and monitoring. - Participate in code reviews, architecture discussions, and continuous improvement initiatives. - Maintain and enhance CI/CD pipelines for DBT projects. **Required Qualifications:** - 5+ years of experience in data engineering or a related field. - Strong hands-on experience with DBT (modular SQL development, testing, documentation). - Proficiency in Snowflake (data warehousing, performance tuning, security). - Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages. - Solid understanding of data modeling concepts (star/snowflake schemas, normalization). - Experience with version control systems (e.g., Git) and CI/CD practices. - Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus.,