Sr. Data Engineer

Job Title:

Experience:

Employment Type:

Job Summary:

Data Engineer

Key Responsibilities:

• Design, develop, and optimize data pipelines using

  dbt

  and

  Snowflake

  .
• Build efficient, reliable, and scalable data transformation models with

  dbt Core or dbt Cloud

  .
• Implement Snowflake features such as

  Snowpipe, Streams, Tasks, and Dynamic Tables

  .
• Work closely with Data Analysts, BI Engineers, and Data Scientists to understand data requirements.
• Ensure data quality and perform rigorous

  data testing and validation

  using

  dbt tests

  .
• Maintain and enhance the

  data warehouse architecture

  to support business intelligence and reporting needs.
• Monitor data pipeline performance and troubleshoot issues proactively.
• Apply

  version control practices (Git)

  and CI/CD for data workflows.

Required Skills & Qualifications:

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with

  Snowflake

  – including data modeling, performance tuning, and administration.
• Advanced proficiency in

  dbt

  (Core or Cloud) for data transformations and testing.
• Proficient in

  SQL

  (complex queries, CTEs, window functions, optimization).
• Experience with

  ETL/ELT design patterns

  and tools like Airflow, Fivetran, or Informatica.
• Solid understanding of

  data warehousing concepts

  ,

  dimensional modeling

  , and

  medallion architecture

  .
• Experience with

  Cloud Platforms

  such as AWS, Azure, or GCP is a plus.
• Familiarity with

  Git/GitHub

  and version-controlled deployment pipelines.
• Excellent communication skills and ability to work in cross-functional teams.