onsite
Azure Data Engineer - Wipro
Data Engineer
Azure Data Engineer responsible for designing, building, and maintaining scalable data pipelines and lakehouse solutions on Azure, leveraging SQL, Python, and Power BI to deliver actionable insights for digital transformation projects.
About the role
Key Responsibilities
- Design, develop, and optimize Azure Data Factory pipelines to ingest, transform, and load data from diverse sources into Azure Data Lake and Synapse Analytics.
- Implement data modeling, partitioning, and performance tuning for large-scale data warehouses and lakehouse architectures.
- Collaborate with data scientists and business analysts to create reproducible data sets and dashboards using Power BI and Azure Synapse Studio.
- Ensure data quality, lineage, and security compliance across all data assets.
- Monitor, troubleshoot, and continuously improve pipeline reliability and cost efficiency.
Requirements
- 3+ years of experience in Azure data services (Data Factory, Synapse, Data Lake Storage).
- Proficiency in SQL, Python, and data modeling best practices.
- Hands‑on experience with Power BI and Azure Data Lake architecture.
- Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Excellent communication skills and a passion for data‑driven decision making.
Skills
azuresqlpythonpower bi