1. Design and develop scalable data engineering solutions using Azure Databricks and PySpark.
2. Collaborate with product owners to analyze requirements and create detailed interface designs.
3. Guide junior team members in task execution and ensure timely, high-quality delivery.
4. Build and optimize data pipelines using ADF, SQL, and NoSQL technologies.
Job Requirements:
1. Experience range: 3–5 years in data engineering and cloud-based development.
2. Proficient in PySpark, SQL, Azure Databricks, and Azure Data Factory.
3. Hands-on with MongoDB and data integration tools.
4. Solid communication and requirement analysis skills.
📌 Specialist I - Azure Data Engineer (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.