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Data Engineer
Skills
Azure Data FactoryComputer ScienceDevopsBusiness IntelligenceConsumer TextilesData AnalyticsData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Computer Science Information Systems Data Engineering Software Engineering or related field or equivalent experience
- 4+ years of professional experience in data engineering business intelligence analytics engineering or enterprise data integration
- Experience building and maintaining data pipelines ETL/ELT processes data warehouses lakehouses or cloud analytics platforms
- Strong SQL development skills including query optimization joins aggregations views stored procedures and validation logic
- Hands-on experience with Microsoft Fabric Azure Synapse Azure Data Factory Databricks or similar cloud data platforms
- Working knowledge of Power BI semantic models data modeling and reporting structures
- Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders
- Strong documentation skills including technical designs data mappings source-to-target logic and operational procedures
- Experience working with enterprise systems such as ERP CRM financial operational or supply chain platforms preferred
- Experience supporting data migration system integration or enterprise reporting initiatives preferred
Nice to have
- Independent
- Collaborative
- Detail-oriented
- Process-minded
- Adaptable
Day to day
- Design, build, test, and maintain scalable data pipelines and integrations that power enterprise reporting and analytics.
- Develop and support Microsoft Fabric lakehouse and warehouse solutions, along with SQL-based data models and ETL/ELT workflows.
- Collaborate with stakeholders and technical teams to translate data needs into reliable cloud data engineering solutions while improving data quality and platform modernization.