American Red Cross
American Red Cross
American Red Cross ir humanitāra organizācija, kas sniedz praktisku atbalstu ārkārtas situācijās un citos gadījumos, kad nepieciešama palīdzība. Tās darbība ietver palīdzību katastrofu gadījumos, asins ziedošanas pakalpojumus, pirmās palīdzības un kardiopulmonālās reanimācijas apmācību, izglītošanu par gatavību ārkārtas situācijām un atbalstu militārpersonu ģimenēm. Apvienojot veselības aprūpi, loģistiku, izglītību un labdarības pakalpojumus, organizācija palīdz cilvēkiem un kopienām sagatavoties krīzēm, reaģēt uz tām un atgūties, stiprinot noturību.

Senior Lead Data Engineer

Lead the modernization of American Red Cross data architecture, warehouses, and analytics. Build scalable AWS pipelines, data quality frameworks, and automated deployments.

Apraksts

  • Build, test, maintain, and support the enterprise data warehouse and its data assets.
  • Establish and implement database standards.
  • Modernize data and reporting capabilities across multiple business areas.
  • Work with analytics and business teams to improve data models for business intelligence tools.
  • Deliver scalable solutions for data integration, storage, reporting, and analytics.
  • Design, develop, and test data integration solutions.
  • Create, automate, and document unit, integration, and functional tests.
  • Run automated deployments through Git pipelines.
  • Coordinate with multiple teams to improve deployment workflows.
  • Monitor and troubleshoot pipelines to maintain reliability and performance.
  • Analyze data to investigate data-related issues.
  • Create a data quality framework and help resolve data issues.
  • Support less experienced colleagues through code reviews, pair programming, and hands-on guidance.
  • Contribute as an individual contributor with limited supervision.

Prasības

  • A four-year college degree or an equivalent combination of education and experience.
  • 10 years of relevant experience in data engineering, business intelligence, or a related field.
  • Experience with database technologies and data warehouse schema patterns, especially snowflake and star schemas.
  • Experience with cloud databases and AWS technologies, including Redshift, RDS, S3, EC2, EKS, and Zero ETL.
  • Advanced SQL query writing and optimization skills for large, complex datasets.
  • Proficiency in object-oriented programming.
  • Python coding experience.
  • Experience building ETL and/or ELT jobs.
  • Experience with Agile software development methods.
  • Experience with DevOps methods and tools, including Git and Artifactory.
  • A process-oriented approach and strong documentation skills.
  • Strong problem-solving and troubleshooting abilities.
  • Authorization to work in the United States.
  • Availability for a rotating weekend support schedule once every eight weeks.
  • DBT experience preferred.
  • Experience building integrations across multiple systems and APIs is a plus.

Priekšrocības

  • Medical, dental, and vision plans.
  • Health spending and flexible spending accounts.
  • Paid time off starting at 19 days per year, depending on job type and tenure.
  • 11 paid holidays: six core holidays and five floating holidays.
  • 401(k) with up to a 6% employer match.
  • Paid family leave.
  • Employee assistance program.
  • Short- and long-term disability coverage and insurance.
  • Service awards and recognition.
  • Competitive compensation and benefits.
  • Mentors who support growth along a purposeful career path.

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