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Data Warehouse Engineer

Posted 4 days agoViewed

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🏢 Company: IntelliShift

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🔥 Data Warehouse Engineer
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  • Strong SQL skills
  • Experience with Talend Data Integration or similar ETL platform
  • Experience with dbt or equivalent ETL tool
  • Familiarity with Linux or Unix command line
  • Experience with AWS data systems
  • Gather requirements from stakeholders
  • Develop and implement data marts in the data warehouse
  • Create and test ETL processes
  • Support report development in Tableau
  • Monitor and maintain the existing data platform

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🔥 Data Warehouse Engineer
Posted 3 days ago

📍 UK

🧭 Full-Time

🔍 Software Development

🏢 Company: UNiDAYS Ltd

  • Data Warehouse star schema design
  • Strong SQL skills
  • ETL & ELT development
  • Experience with Talend tools and/or dbt
  • Experience with Tableau tools
  • Experience with AWS technology stack
  • Experience with Big Data platforms
  • Familiarity with Insight Analysts/Data Scientists environments
  • Some form of non-BI programming experience
  • Experience of developing in, or learning, industry useful programming languages
  • Platform familiarity and understanding
  • Gather stakeholder requirements
  • Lead data design specifications
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  • Develop ETL processes
  • Develop and support reports
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AWSSQLETLTableauLinuxScripting

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🔥 Data Warehouse Engineer
Posted 4 days ago

📍 Americas (North, Central and South America), EMEA

🧭 Full-Time

🔍 Software Development

🏢 Company: Zapier👥 501-1000💰 Secondary Market almost 4 years ago🫂 Last layoff over 1 year agoBusiness Process Automation (BPA)Cloud ComputingSaaSData IntegrationSoftware

  • 4+ years of experience as a Data Warehouse Engineer, Data Engineer, Analytics Engineer, or in a similar role.
  • Strong proficiency in SQL and Python.
  • Deep understanding of data modeling concepts.
  • Experience designing data models and ETL pipelines with a focus on ease of use for end consumers, high performance, and scalability.
  • Commitment to data quality.
  • Familiarity with modern data platforms.
  • Develop and maintain efficient data pipelines using Airflow, Databricks, and dbt to transform raw data into analytics-ready datasets for user-facing products and insights.
  • Implement automated testing and monitoring systems to uphold data quality and integrity, leveraging best practices in observability and issue detection.
  • Partner with stakeholders across Zapier to understand their analytical needs and build data models and self-service analytics solutions using tools like Looker and Amplitude.
  • Collaborate with product, marketing, and engineering teams to ensure products and services are properly instrumented to collect the right data for analytics.
  • Contribute to architectural decisions, tooling choices, and strategies to optimize data storage, workflows, and schemas, ensuring scalability, accessibility, and security.
  • Work closely with Data Scientists and cross-functional stakeholders to bridge the gap between raw data and actionable insights, empowering teams to make informed, data-driven decisions.
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PythonSQLApache AirflowETLAmplitude AnalyticsData engineeringAnalytical SkillsWritten communicationData visualizationData modelingData analytics

Posted 4 days ago
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