Azure Data Engineer
1 week geleden
- Build, manage, and optimize data pipelines using Azure Data Factory and Databricks (PySpark/Scala).
- Design and implement scalable, high-performance data architectures and ETL/ELT workflows.
- Deploy data and analytics solutions to production with CI/CD using Azure DevOps.
- Develop dashboards and data models using Power BI, MSBI, and Azure SQL.
- Ensure secure, compliant data operations using Azure Key Vault and Azure governance best practices.
- 8–10 years of experience in data engineering, ETL/ELT, and Azure cloud data services.
- Strong expertise in ADF, Databricks, PySpark/Scala, Azure SQL, ADLS Gen2, T-SQL, Stored Procedures.
- Hands-on experience with Azure DevOps, Synapse, Log Analytics, and IaC (Bicep/Terraform/Ansible).
- Proficiency in Python, data modelling, and distributed processing.
- Added advantage: credit risk modelling experience and Azure Data Engineer certification.
- Architect scalable data solutions and write clean, optimized code.
- Troubleshoot pipelines, performance issues, and complex data flows.
- Translate business needs into technical data workflows and solutions.
- Collaborate effectively with cross-functional teams (data science, DevOps, business).
- Opportunity to work with leading Azure cloud and data engineering technologies.
- Collaborative, innovative environment with continuous learning culture.
- Exposure to enterprise-scale data platforms, advanced analytics, and AI/ML use cases.
- Career growth through certifications, training, and high-impact projects.
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Aswin Dhanvandhar
Phone: ; Extn :141
Email:
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