Azure Data Engineer
Share
Job Location:
Monthly Salary:
Experience Required:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
- 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.
- 810 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.
As an Azure Data Engineer you will: 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. What You Bring to the Table: 810 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. You should possess the ability to: 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). What We Bring to the Table: 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. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Aswin Dhanvandhar Phone:; Extn :141 Email: LinkedIn:
Company Industry
IT Services and IT Consulting
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
