22 days ago
Noida, India or Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data using Azure services.
- Build enterprise data integrations with Azure Event Hubs, Azure Functions, APIs, and reusable data frameworks.
- Implement data quality, governance, security, and compliance practices using Azure Key Vault and Microsoft Entra ID.
- Monitor and troubleshoot Azure data pipelines, maintain documentation, and implement CI/CD practices.
- Support analytics, reporting, and machine learning initiatives.
- Design and optimize enterprise-scale data processing frameworks and apply data modeling and relational database principles.
Requirements
- 6–8+ years of core Data Engineering experience, including at least 3+ years of hands-on experience building enterprise-scale solutions with Microsoft Azure data services.
- Strong proficiency in Python, SQL, and PySpark.
- Proven experience designing, building, and optimizing enterprise-scale ETL/ELT pipelines and processing frameworks.
- Solid understanding of data modeling principles, concepts, and relational database structures.
- Practical experience with Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure SQL Database, and Azure Analytics.
- Familiarity with Azure Monitor, Azure Key Vault, Microsoft Entra ID, cloud data security, and compliance practices.
- Experience with Apache Spark, Azure Event Hubs, Azure Functions, and real-time or event-driven integrations.
- Basic working knowledge of Java is preferred.
Benefits
- Hybrid-friendly work culture with programs supporting financial, mental, physical, and social well-being.
- Opportunities for vertical and horizontal career growth, including potential paths toward enterprise architect, chief architect, or distinguished engineer roles.
- Potential opportunity to travel.
- Personalized development goals, continuous feedback, coaching, and hands-on learning opportunities.
- Access to certification opportunities with Microsoft, Google, and Amazon.
- Inclusive culture focused on belonging, empathy, professional development, and shared success.
Tech Stack
Categories
Data Engineering
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.