Senior Data Engineer
Kyndryl (company site, opens in a new tab)6–8 yrsNoidaOn-siteDirect career pageEst. 18–28 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable, real-time data pipelines and ETL/ELT workflows using Azure services to power autonomous AI systems.
- Ensure data quality, security, governance, and compliance while optimizing performance and cost efficiency of data processing.
- Collaborate with cross-functional teams to support analytics, reporting, machine learning initiatives, and implement CI/CD pipelines.
Minimum Requirements
- 6–8+ years of experience in Data Engineering.
- Minimum 3+ years of hands-on experience with Microsoft Azure data services including Azure Data Factory, Azure Databricks, Azure SQL Database, and related technologies.
- Strong proficiency in SQL and Python; experience with building enterprise-scale ETL/ELT solutions and strong understanding of data modeling principles.
- Work Experience Required: 6–8+ years as specified. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in architecting and optimizing high-performance data infrastructure for complex enterprise and autonomous AI applications.
- Deep expertise in Azure cloud data technologies with ability to build secure, compliant, and efficient data pipelines at scale.
- Proven ability to develop reusable frameworks and standards while working collaboratively in cross-functional, innovative environments.