Senior DataOps Engineer
Core
Build, automate, and optimize enterprise data pipelines and cloud-based data platforms.
Role type
Senior DataOps Engineer
Builds
Scalable data pipelines, workflows, and cloud-based data platforms
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Airflow, Docker, Kubernetes, Terraform, CI/CD, ETL/ELT
Preferred skills
AWS, Azure, GCP, Databricks, Snowflake, Jenkins, GitHub Actions
Technologies
Airflow, AWS, Azure, CI/CD, Cloud, Databricks, DevOps, Docker, ETL, GCP, Git, GitHub, Jenkins, Kubernetes, Python, PySpark, SQL, Snowflake, Terraform
Responsibilities
Build, maintain, and optimize scalable data pipelines and workflows; Implement CI/CD for data pipelines; Monitor data quality, validate data, and troubleshoot issues; Automate deployments, configuration, and data operations; Collaborate with Data Engineering, DevOps, Analytics, and business teams
Seniority
Senior, hands-on IC
