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Senior Data Engineer
Skills
Data IntegrationAnalytical SkillsAnalyticsBusiness InsightsData ManagementData MiningData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- At least 7 years of hands-on experience designing building and managing data warehouses using the Kimball methodology
- Proficiency in Azure Data Factory Azure SQL Server Azure DevOps Key Vaults and Logic Apps
- Proven ability to design efficient and scalable data warehouse architectures including staging and production layers
- Experience optimizing data loads for reliability scalability and high performance
- Strong understanding of advanced data technologies and practices with ability to scale for future needs
- Experience integrating data from diverse sources while ensuring accuracy and consistency throughout ETL
- Adept at troubleshooting and resolving complex data pipeline and infrastructure issues
- Ability to work closely with data analysts stakeholders and cross-functional teams
- Familiarity with CI/CD pipelines and agile workflows
Nice to have
- SaaS experience
- Power BI familiarity
- Cloud cost awareness
- Python scripting
- PowerShell scripting
- Bash scripting
- Data quality focus
- Microsoft Fabric awareness
- Hybrid architecture experience
Day to day
- Design and implement scalable Azure data architecture for a centralized data warehouse
- Develop and optimize ETL processes in Azure Data Factory to ingest and transform data from diverse sources
- Work closely with Senior Data Analysts and stakeholders to deliver curated datasets reporting support and clear technical documentation