
Azure Data Engineer
3 weeks ago
We're Hiring | Data Engineer
We're looking for an experienced Data Engineer Consultant to join our growing team for an exciting Greenfield S/4HANA Implementation project
Role: Data Engineer
Location: Hybrid
Experience: 3-5 years
Key Skills:
- Data Pipeline Development: Design, build, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
- Data Storage & Warehousing: Work with Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage (ADLS) for large-scale data management.
- Data Modeling: Create optimized data models (star, snowflake, data vault) to support reporting and analytics.
- Programming & Automation: Use SQL, Python, and PySpark (in Azure Databricks) for data transformations and automation.
- Performance Optimization: Monitor and optimize ADF pipelines, Synapse queries, and Databricks jobs for cost, performance, and reliability.
- Data Quality & Governance: Implement validation, lineage, and governance using Microsoft Purview.
- Collaboration: Partner with business teams, analysts, and data scientists to deliver reliable, scalable Azure data solutions.
- DevOps & Documentation: Use Azure DevOps for CI/CD of data pipelines; maintain clear documentation and follow versioning/deployment best practices
If this sounds like you—or someone you know—DM me or share CV to
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