Senior Data Engineer
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About the role
Kyndryl operates and reimagines mission-critical technology systems for businesses, including enterprise AI data infrastructure. You will design and maintain scalable Azure data pipelines and integrations that support analytics, reporting, and machine learning.
What you'll do
- Design and optimize scalable ETL/ELT pipelines for structured and unstructured data
- Build enterprise integrations with Azure services and REST APIs
- Secure data access and support governance and compliance
- Monitor and troubleshoot pipelines and implement CI/CD practices
- Support analytics, reporting, and machine learning initiatives
Skills
Must have
- Python
- SQL
- Pyspark
- Etl/elt pipelines
- Data modeling
- Azure data factory
- Azure Databricks
- Azure blob storage
- Azure SQL database
- Azure analytics
Nice to have
- Java
- Azure monitor
- Azure key vault
- Microsoft entra id
- Apache Spark
- Azure event hubs
- Azure functions
- REST API integrations
Who it's for
- Experience
- 6+ years
- Domain
- enterprise ai infrastructure
About Kyndryl
Kyndryl has 31 open roles in Bangalore, at Kyndryl Bengaluru (Embassy Manyata Business Park). See every Kyndryl role.
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