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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
