Senior Data Engineer

Senior Data Engineer

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:

• 5+ years

   of professional experience in Data Engineering.
• Strong hands-on experience with 

  Snowflake

   (data modeling, 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