Azure Data Engineer

Job Summary

We are seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in Azure Data Factory, Databricks, PySpark, SQL, and cloud data storage systems.

Job Roles & Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory, Databricks, and PySpark.
• Create and optimize SQL queries, stored procedures, views, and functions.
• Integrate data from SAP OData and other enterprise systems.
• Manage and monitor data storage using Azure Data Lake, Azure Synapse, and Blob Storage.
• Ensure high performance, scalability, and reliability of data workflows.
• Build and support ETL/ELT pipelines for large-scale data processing.
• Collaborate with cross-functional teams including analysts, architects, and business stakeholders.
• Implement data governance, security, and compliance best practices.
• Document technical solutions and maintain clean, reusable code

Cultural Expectations

• Demonstrate strong problem-solving skills and take ownership of data solutions.
• Stay updated with Azure cloud technologies and modern data engineering practices.
• Deliver high-quality work independently and in a team environment.
• Communicate effectively with technical and non-technical stakeholders.
• Follow Agile development practices, including version control (GIT) and CI/CD.
• Show initiative, reliability, and a continuous improvement mindset.
• Optionally contribute to BI (Power BI, SSRS) or machine learning workflows (if skilled).
• Adhere to project timelines and meet delivery expectations consistently.

Hiring Process

• Technical assignment tailored for the role.
• Interview with hiring manager to assess technical skills.
• Live coding task to evaluate coding proficiency.
• Technical interview with senior member from the technical team.
• Final interview with Tech Lead/CTO.