4–8 yrsBengaluruOn-siteDirect career pageEst. 14–24 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Own the design, build, and maintenance of scalable batch and real-time data pipelines on Microsoft Azure using the Medallion Architecture.
- Integrate multiple complex data sources into the Azure Cloud and create optimized data models and aggregate tables for downstream analytics and machine learning.
- Collaborate with data scientists and engineers to feature-engineer data, troubleshoot, optimize pipelines for performance and cost, and uphold engineering best practices including data quality checks.
Minimum Requirements
- 4+ years of professional experience in data warehousing, ETL/ELT design, and enterprise data pipeline development.
- Strong hands-on expertise with Microsoft Azure cloud components, especially Azure Databricks and Delta Tables.
- Advanced proficiency in Python, PySpark, and expert-level SQL with strong knowledge of data modeling and warehousing concepts.
- Work Experience Required: Minimum 4 years as explicitly mentioned. Notice period: Not explicitly mentioned.
Ideal Candidate Profile
- Experienced in designing and operating cloud-native data architectures at scale, specifically on Microsoft Azure using Medallion Architecture.
- Able to work independently on data pipeline creation, tuning, and delivery for advanced analytics and ML use cases.
- Comfortable collaborating across cross-functional teams including data scientists, and adapting to Agile/Scrum environments.