Description:
We’re hiring a hands-on Data Engineer to drive scalable data solutions across Azure platforms. This role demands deep expertise in SQL, Power BI, Azure Data Factory, Databricks, and Spark, with a focus on building robust pipelines and delivering actionable insights.
Key Responsibilities
- Design, develop, and optimize ETL pipelines using Azure Data Factory and Databricks
- Build scalable data models and dashboards in Power BI for business reporting
- Implement Spark-based transformations for structured and semi-structured data
- Collaborate with cross-functional teams to understand data requirements and deliver solutions
- Ensure data integrity, performance tuning, and pipeline automation
- Monitor and troubleshoot data workflows, ensuring high availability and reliability
✅ Required Skills
- 5+ years of experience in data engineering or related roles
- Strong proficiency in SQL and Spark (PySpark preferred)
- Hands-on experience with Azure Data Factory, Databricks, and Power BI
- Familiarity with Delta Lake, ADLS, and CI/CD pipelines in Azure
- Ability to handle large datasets and optimize performance
- Excellent problem-solving and communication skills
🚀 Preferred Attributes
- Experience in real-time data processing and lakehouse architecture
- Knowledge of data governance and security best practices
- Certification in Azure Data Engineering or related technologies