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