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Senior Software Engineer
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CREQ231877 Requisition #

Job Responsibilities

  • Build and maintain scalable data pipelines using dbt and Snowflake
  • Design and manage models to transform raw data into analytics-ready datasets
  • Optimize SQL queries and Snowflake performance (clustering, partitioning, tuning)
  • Collaborate with analysts, scientists, and stakeholders to deliver data solutions
  • Ensure data quality with automated testing, validation, and monitoring
  • Document models, transformations, and pipeline processes clearly
  • Manage deployments with Git, CI/CD, and dbt automation
  • Monitor and troubleshoot pipeline issues proactively
  • Automate workflows using Python and Bash scripting

Qualifications & Skills

  • Strong expertise in SQL, dbt, and Snowflake
  • Experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Airflow, Fivetran)
  • Proficient in Python for automation and data engineering tasks
  • Solid understanding of data warehousing and modeling (star schema, dimensional modeling)
  • Excellent communication and problem-solving skills for cross-functional collaboration
  • Proven experience in data engineering, ETL/ELT pipelines, and modern data architectures

Job Responsibilities

  • Build and maintain scalable data pipelines using dbt and Snowflake
  • Design and manage models to transform raw data into analytics-ready datasets
  • Optimize SQL queries and Snowflake performance (clustering, partitioning, tuning)
  • Collaborate with analysts, scientists, and stakeholders to deliver data solutions
  • Ensure data quality with automated testing, validation, and monitoring
  • Document models, transformations, and pipeline processes clearly
  • Manage deployments with Git, CI/CD, and dbt automation
  • Monitor and troubleshoot pipeline issues proactively
  • Automate workflows using Python and Bash scripting

Qualifications & Skills

  • Strong expertise in SQL, dbt, and Snowflake
  • Experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Airflow, Fivetran)
  • Proficient in Python for automation and data engineering tasks
  • Solid understanding of data warehousing and modeling (star schema, dimensional modeling)
  • Excellent communication and problem-solving skills for cross-functional collaboration
  • Proven experience in data engineering, ETL/ELT pipelines, and modern data architectures

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