DevOps Engineer

DataOps Engineer (Lead DataOps & MLOps Domain)

We are looking for a DataOps Engineer to lead the establishment of the DataOps and MLOps domain end-to-end in a high-scale, advanced technological environment

.This is a key role combining DevOps, Big Data, and AI, with full responsibility for designing, building, and implementing enterprise-grade data infrastructures and machine learning solutionswhile setting new standards for how data is managed and utilized across the organization

Responsibilities:

Lead the design and implementation of DataOps & MLOps frameworks (technology & methodology)

Build and manage end-to-end data pipelines from multiple sources to Data Warehouse

Work with advanced technologies such as OpenShift, S3, Spark, Airflow, and Microservices

Implement best practices for data quality, security, and system reliability

Optimize performance, scalability, and automation of data workflows

Collaborate closely with Big Data and AI teams to deliver innovative solutions

Evaluate and adopt new technologies in the Data & AI ecosystem

Requirements:

B.Sc. in Computer Science / Data Science (or equivalent)

5+ years of hands-on experience in DevOps

Proven experience in building and leading DataOps / MLOps domains end-to-end

Experience with infrastructure and tools such as OpenShift,S3

Strong proficiency in Python and SQL

SQLExperience working with cloud platforms (AWS, GCP, etc)

Deep understanding of data ecosystems, CI/CD, and Agile methodologies

Hands-on experience with Docker, testing, and integration processes

Strong technical leadership, teamwork, and communication skills