Data DevOps Engineer
Dhananjay H KIndiaMIDPosted 1h ago
AWSSnowflakeApache TrinoDagsterApache AirflowdbtMLOpsMLflowKubeflowAmazon SageMakerPythonGit/GitHubCI/CDDockerKubernetesJenkinsGitLab CI
About the Role
We are looking for a Data DevOps Engineer to join UnifyCX, a company leveraging AI to transform customer experiences. This role involves building, managing, and optimizing scalable, secure, and high-performing data infrastructure.
Key Responsibilities
• Build, manage, and optimize scalable, secure, and high-performing data infrastructure
• Collaborate with data engineers, data scientists, and analytics teams to deliver reliable and efficient data platforms
• Ensure data security, access control, encryption, and monitoring
Requirements
• Strong hands-on experience with AWS (EC2, S3, Lambda, RDS)
• Experience with Snowflake administration, performance tuning, and query optimization
• Hands-on experience with Apache Trino and distributed SQL query processing
• Experience with Dagster, Apache Airflow, dbt, and ETL pipelines
• Knowledge of MLOps tools such as MLflow, Kubeflow, or Amazon SageMaker
• Proficiency in Python scripting, Git/GitHub, and CI/CD pipelines
• Experience with Docker, Kubernetes, Jenkins, or GitLab CI
• Understanding of data security, access control, encryption, and monitoring