Data Engineer with DBT

Job Description:

• Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team.
  
  
• Person will be responsible for 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:

• 3+ 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.
  
  
• Must have skills : Snowflake
• Good to have skills : PL/SQL