Data Engineer designing, building, and maintaining scalable data platforms and pipelines at Kyndryl. Utilizes Azure cloud solutions and adheres to modern software development practices.
Responsibilities
Design, develop, and maintain scalable data pipelines and data platforms.
Build and optimize data solutions on cloud environments (primarily Azure).
Implement and manage data governance and cataloging solutions.
Work with structured and unstructured data across SQL and NoSQL systems.
Develop infrastructure using Infrastructure as Code (IaC) tools.
Collaborate with cross-functional teams including data scientists, analysts, and DevOps.
Ensure data quality, reliability, and performance across systems.
Apply best practices in software engineering, including SOLID principles and design patterns.
Participate in CI/CD processes and DevOps workflows.
Write unit tests and ensure code quality using modern testing frameworks.
Requirements
Strong programming skills in object-oriented programming (Python preferred).
Hands-on experience with Azure Cloud services (storage, networking, IAM, etc.).
Experience with SQL and NoSQL databases (Cosmos DB is a plus).
Knowledge of data governance practices (e.g., Unity Catalog).
Experience with Infrastructure as Code (Terraform).
Understanding of DevOps, CI/CD pipelines, and agile development practices.
Strong grasp of software design principles (SOLID, design patterns).
Experience with Domain-Driven Design (DDD).
Familiarity with unit testing frameworks such as pytest and mocking tools.
Experience with streaming data platforms (e.g., Kafka, Event Hubs) (Nice to Have).
Knowledge of asynchronous programming (async I/O) (Nice to Have).
Strong understanding of type hints and typing in Python (Nice to Have).
Benefits
Flexible working environment
Professional development opportunities
Be Well programs designed to support financial, mental, physical, and social health
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