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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

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