Jobs → Data & Analytics → Data DevOps Engineer

About the Role We are looking for a Data DevOps Engineer to join our team at UnifyCX. This role focuses on 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 • Troubleshoot, automate, and solve problems related to data platforms Requirements • 4–8 years of experience in data infrastructure and DevOps • 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