Data & ML Engineer

Minimum of 5 years of experience in data engineering.

At least 3 years of experience in Machine Learning engineering.

Strong skills in developing and deploying :

Data pipelines on cloud platforms like Azure, AWS, or Google Cloud.

Machine Learning models for real-world use cases.

APIs and microservices for data products.

Expertise in DevOps practices, CI / CD, and Infrastructure as Code.

Experience in working with technologies such as :

Python, Spark, Databricks, PySpark.

SQL and NoSQL databases.

Data modeling and data architecture.

Familiarity with Agile methodologies (e.g., Scrum, Kanban).

Strong understanding of data governance, privacy, and security principles.

Experience working in a large, complex Enterprise in a technology data-related role.

Experience with change management processes in software / data delivery.

Role :   Data Engineer

Industry Type :   IT Services & Consulting

Department :   Engineering - Software & QA

Employment Type :   Full Time, Permanent

Role Category :   Software Development

Education

UG :   Any Graduate

Skills Required

Nosql, Change Management, Machine Learning, Agile, Data Governance, Data Modeling, Scrum, Data Architecture, Sql, Python