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Senior Snowflake Data Engineer - Talent Pipeline

55 minutes ago
Anywhere
Senior
Data Engineer
Software Development
Agile Apache Airflow AWS Azure CI/CD dbt GCP Git Kafka Python Snowflake SQL Terraform
Apply Now
BlueCloud

BlueCloud

BlueCloud is a global leader in cloud transformation, providing tailored solutions for Fortune 500 clients with a focus on innovation and customer service.

Internet Software & Services
251-1K
Founded 2004
View All Jobs 10

Description

  • Design, develop, and maintain scalable data pipelines and transformation workflows within Snowflake.
  • Build and optimize ELT/ETL processes using SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.
  • Modernize existing Python- and stored-procedure-based pipelines using set-based processing, incremental loading, and reusable engineering patterns.
  • Implement Snowflake-native data-processing solutions using Dynamic Tables, Streams, Tasks, and stored procedures.
  • Improve platform performance and cost efficiency through query tuning, warehouse right-sizing, clustering, workload isolation, and auto-suspend and auto-resume policies.
  • Develop orchestration, dependency management, monitoring, error handling, retry, and recovery mechanisms.
  • Design and maintain dimensional, relational, and domain-oriented data models.
  • Implement data-quality checks, observability, testing, lineage, and documentation standards.
  • Integrate data from batch and real-time sources using tools such as Fivetran, Kafka, Airflow, or similar technologies.
  • Work with architects and client stakeholders to translate business and technical requirements into production-ready solutions.

Requirements

  • 7+ years of experience in data engineering, including significant hands-on experience with Snowflake.
  • Advanced SQL skills, including complex transformations, query optimization, and stored procedure development.
  • Strong Python development experience for data processing, automation, and pipeline development.
  • Hands-on experience with Snowpark and Snowflake-native capabilities such as Dynamic Tables, Streams, and Tasks.
  • Proven experience designing and supporting scalable ELT/ETL pipelines in production environments.
  • Strong understanding of Snowflake performance and cost optimization, including warehouse sizing, query profiling, clustering, and workload management.
  • Experience with data modeling, incremental processing, pipeline orchestration, and dependency management.
  • Experience with dbt or a comparable data transformation framework.
  • Familiarity with at least one major cloud platform: AWS, Azure, or GCP.
  • Experience with Git, CI/CD, automated testing, and modern software delivery practices.
  • Experience with Fivetran, Kafka, Airflow, or similar ingestion and orchestration tools (preferred).
  • Familiarity with Terraform or another infrastructure-as-code platform (preferred).
  • Experience with Snowflake Iceberg Tables or modern lakehouse architectures (preferred).
  • Exposure to Snowflake Cortex, including Cortex Analyst, Cortex Search, or Cortex LLM functions (preferred).
  • Experience supporting business continuity and disaster recovery strategies (preferred).
  • SnowPro Core or SnowPro Advanced certification (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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