We are looking for highly experienced Senior DataOps / MLOps Engineers to support enterprise-level big data analytics and AI deployment. You will architect and scale data pipelines and CI/CD workflows for ML and data-driven systems in production environments.
Responsibilities :
- Design and implement large-scale CI/CD pipelines for data and machine learning workloads.
- Optimize, automate, and monitor data pipelines across distributed systems.
- Build and maintain scalable ETL/ELT environments using Apache Spark/Databricks.
- Implement Airflow for workflow orchestration and scheduling.
- Support ML lifecycle including deployment, retraining, and model performance monitoring.
- Collaborate with Data Scientists, Data Engineers, and DevOps teams for seamless integration.
- Apply best practices for data modeling, versioning, lineage, and data/AI governance.
Requirements:
- experience in Big Data, Data Analytics, and/or Data Science environments.
Proven expertise with:
Apache Spark / Databricks
- Airflow
- SQL
- Python
- Kafka
- Strong experience building large-scale CI/CD pipelines for data/ML systems.
- Strong knowledge of data modeling, governance, and security best practices.
- Excellent analytical skills & problem-solving mindset.
- Ability to work fully onsite in South Jakarta.