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Data Engineer II

🕒 yesterday
Data EngineeringAWSMicrosoft TechnologiesSQL

📜 Description

  • Design, build, test, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
  • Develop and enhance data models and warehouse structures for analytics, reporting, and business intelligence.
  • Monitor and troubleshoot data workflows, improving data quality, reliability, and performance.
  • Partner with engineering, product, and analytics teams to translate business needs into technical solutions.
  • Contribute to data quality, governance, testing, and documentation across the data lifecycle.

🛠️ Requirements

  • Experience in data engineering or a related technical discipline, with hands-on experience developing and supporting data pipelines in cloud-based environments.
  • Strong SQL and Python skills, including experience developing ETL/ELT workflows and working with structured and semi-structured data.
  • Working knowledge of data modeling, data warehousing, pipeline orchestration, and modern data engineering practices.
  • Experience with AWS technologies such as Glue, Lambda, and Step Functions, or comparable cloud data services.
  • Familiarity with orchestration tools such as Airflow and infrastructure-as-code tools such as Terraform.
  • Ability to troubleshoot data and pipeline issues, investigate root causes, and implement reliable solutions.
  • Strong collaboration and communication skills, with the ability to work effectively with engineering, analytics, product, and business partners.
  • Ability to independently manage assigned work while seeking input and collaborating on more complex technical decisions.
  • Experience with SSIS, PowerShell, or SSRS.
  • Familiarity with business intelligence and visualization tools such as Tableau or Power BI.

Benefits

  • Competitive compensation, comprehensive benefits, and opportunities for continued professional growth.

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