Data Engineer

We are seeking a highly skilled and experienced Data Engineer to join our dynamic data team. The ideal candidate will have deep expertise in Snowflake, dbt (Data Build Tool), and Python, with a strong understanding of data architecture, transformation pipelines, and data quality principles. You will be instrumental in building and maintaining scalable data pipelines and enabling data-driven decision-making across the organization.

Key Responsibilities:

• Design, develop, and maintain scalable and efficient ETL/ELT pipelines using dbt, Snowflake, and Python.
  
• Optimize data models and warehouse performance in Snowflake.
  
• Collaborate with data analysts, scientists, and business teams to understand data needs and deliver high-quality datasets.
  
• Ensure data quality, governance, and compliance across pipelines.
  
• Automate data workflows and monitor production jobs to ensure accuracy and reliability.
  
• Participate in architectural decisions and advocate for best practices in data engineering.
  
• Maintain documentation of data pipelines, transformations, and data models.
  
• Mentor junior engineers and contribute to team knowledge sharing.
  

Required Skills & Qualifications:

• 4+ years of professional experience in Data Engineering.
  
• Strong hands-on experience with Snowflake (data modelling, performance tuning, security features).
  
• Proven experience using dbt for data transformation and modeling.
  
• Proficiency in Python for data engineering tasks and scripting.
  
• Solid understanding of SQL and experience in building and maintaining complex queries.
  
• Experience with orchestration tools (e.g., Airflow, Prefect) is a plus.
  
• Familiarity with version control systems like Git.
  
• Strong problem-solving skills and attention to detail.
  
• Excellent communication and teamwork abilities.
  

Preferred Qualifications:

• Experience working with cloud platforms like AWS, Azure, or GCP.
  
• Knowledge of data lake architecture and real-time streaming technologies.
  
• Exposure to CI/CD pipelines for data deployment.
  
• Experience in agile development methodologies .