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Data Engineer
Skills
Azure Data FactoryAzure Data LakeSoftware As A ServiceWarehouse OperationsData WarehousingPythonSnowflake
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3 to 5+ years of experience in data engineering ETL development or data integration
- Experience with Snowflake or another modern cloud data warehouse including modeling transformations and performance optimization
- Hands-on experience with Azure Data Factory or similar cloud orchestration tool
- Experience with Azure Data Lake Storage or similar cloud storage platform
- Strong SQL skills including complex queries performance tuning and large datasets
- Experience developing data solutions using Python
- Understanding of data warehousing concepts ETL ELT processes and dimensional modeling
- Experience integrating data through APIs and working with JSON XML or similar formats
- Experience integrating enterprise SaaS applications such as Salesforce Workday GA4 Marketo or similar systems
Nice to have
- Cloud-minded
- Detail-oriented
- Collaborative
- Analytical
- Problem-solver
Day to day
- Design and maintain scalable cloud data pipelines using Azure Data Factory Snowflake SQL and Python
- Build ETL and ELT workflows that integrate data from enterprise applications APIs and third-party systems
- Develop trusted datasets and data models that support reporting business intelligence automation and AI initiatives
- Partner with business and technical stakeholders to translate requirements into accurate accessible data solutions
- Monitor troubleshoot and optimize pipelines while performing validation testing reconciliation and documentation