Snowflake Data Engineer

Job Description

REQUIREMENTS

• 8+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake.
• Advanced SQL programming and query optimization.
• Mandatory experience with Apache Airflow.
• Mandatory experience with dbt (Data Build Tool).
• Strong understanding of ETL/ELT concepts and modern data engineering practices.
• Experience building and maintaining enterprise-scale data pipelines.
• Proficiency in Python for data engineering and automation.
• Experience working with Git and version control.
• Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional

Modeling).

• Experience working with structured and semi-structured data formats such as JSON, Parquet, and

Avro.

• Strong analytical, debugging, and problem-solving skills.

RESPONSIBILITES

• • 
    Design, develop, and maintain scalable data pipelines using Snowflake.
  • Build and optimize ELT workflows using dbt.
  • Develop and orchestrate data pipelines using Apache Airflow.
  • Design and implement efficient data models to support analytical and business reporting
  requirements.
  • Perform data ingestion from multiple structured and semi-structured data sources.
  • Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse
  optimization.
  • Develop reusable, scalable, and maintainable SQL transformations.
  • Implement data quality checks, validation, and monitoring processes.
  • Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to
  deliver robust data solutions.
  • Troubleshoot production issues and ensure high availability of data pipelines.
  • Follow best practices for version control, CI/CD, testing, and documentation.

Are you interested in this position?

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