gravity9

Data Engineer

• Work in Agile teams to deliver the committed backlog against acceptance criteria
• Design, build, and operate ingestion and orchestration pipelines in Azure Data Factory
• Develop ETL/ELT in Azure Databricks using a medallion architecture for analytics, reporting, and AI
• Lead code reviews and set engineering standards
• Participate in estimating, planning, testing, deployments, and documentation
• Shape data architecture decisions, including metric definitions, semantic models, and data serving AI agents
• Apply data governance, security, and access controls according to client classification and residency requirements
• Use AI-assisted development tools responsibly to accelerate delivery without compromising quality or security
• Communicate progress, open items, and issues to stakeholders, including management
• Stay current with relevant technology developments
• Deliver robust data platforms and AI-enabled solutions on Microsoft Azure supporting decision-making, autonomous execution, and integrated operations
• Mentor team members and lead by doing

Explore Senior Data Engineer, 6-month contract at gravity9. Review requirements and application details.

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Senior Data Engineer, 6-month contract