Opening For Data Engineer with DBT (Data Build Tool), Snowflake

Job highlights

• 5+ years in data engineering with expertise in DBT, Snowflake, and advanced PL/SQL
• Design scalable data models and pipelines, optimize Snowflake performance, ensure data quality, and maintain CI/CD for DBT projects

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."