About this role
Azure Data Engineer is responsible for designing and developing data solutions/pipelines using Microsoft Azure cloud services. The role involves creating scalable data pipelines, integrating data from multiple sources, and implementing strong data security and privacy controls.
The Azure Data Engineer will also monitor and troubleshoot data flows, optimize data storage and processing for performance and cost efficiency, and support AI and Generative AI (GenAI) initiatives by enabling high‑quality and reliable data pipelines.
Interact with multiple stakeholders and manage the end-to-end data project delivery from project requirements, solutioning and execution and hand off to operations.
- Bachelor’s degree in computer science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- Experience with Azure cloud services , specifically data storage and data processing solutions.
- Strong knowledge of data warehousing and ETL (Extract, Transform, Load) concepts .
- Hands‑on experience with SQL, Python and PySpark .
- Understanding of GenAI and LLM data concepts , including training data, embeddings, and inference pipelines.
- Strong understanding of data security and privacy best practice.
- Experience with monitoring and troubleshooting data pipelines.
- Strong problem‑solving and analytical skills.
- Effective communication skills to collaborate with cross‑functional teams.
- Experience with data governance is a plus.
- Proven experience leading and mentoring teams.
- Strong communication and stakeholder management skills.
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