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Data Engineer for Effective Health Solutions

Y-Axis

Cawston · On-site Full-time 1w ago

About the role

About

Enhance health outcomes as a Data Engineer focused on ETL solutions. Utilize advanced technologies to develop and support ETL workflows that connect individuals with critical resources and care benefits.

This role requires hands-on expertise in data engineering techniques, specifically SSIS and T-SQL for optimized data management. You will analyze requirements, troubleshoot issues, and collaborate across teams to deliver effective data solutions in health optimization. Your contributions are vital for the refinement of ETL best practices in a data-focused environment.

Key Responsibilities

  • Develop and maintain scalable ETL workflows
  • Troubleshoot existing SSIS packages for reliability
  • Analyze business requirements for ETL solutions
  • Monitor ETL processes and perform issue resolution
  • Collaborate with cross-functional teams for data solutions

Requirements

  • Experience with Snowflake, Databricks, or Kafka
  • Strong skills in SQL, SSIS, and data analysis
  • Knowledge of version control systems, Git
  • Solid understanding of performance tuning
  • Proven communication skills across teams

Utilize your expertise to design impactful ETL solutions that advance health care delivery and business intelligence capabilities.

Skills

DatabricksGitKafkaSQLSSISSnowflakeT-SQL

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