The DataOps Certified Professional (DOCP) is a globally recognized certification designed to validate practical expertise in DataOps principles, tools, and automated data pipeline management.

Overview

DOCP covers essential capabilities for modern data engineers, analysts, and DevOps practitioners by emphasizing real-world applications of DataOps such as orchestration, integration, data quality, automation, monitoring, and governance. Successful candidates demonstrate proficiency in building, automating, monitoring, and scaling data pipelines using leading technologies.

Curriculum & Skills

• Foundations of DataOps: Principles, frameworks, and methodologies for agile, automated data management.
• Pipeline Design & Automation: Construct end-to-end data pipelines using Airflow, Kafka, StreamSets, and other orchestration tools.
• Integration & ETL: Data ingestion, transformation, and quality control via ETL/ELT platforms like Databricks, Dataiku, Talend.
• Automation & CI/CD: Implement continuous integration and deployment (CI/CD) for data workflows, version control, and pipeline reproducibility.
• Monitoring & Observability: Set up metrics, alerting, and dashboards using tools like Grafana; ensure data pipeline reliability.
• Data Quality & Testing: Validate and profile data using frameworks like Great Expectations.
• Infrastructure as Code (IaC): Manage and deploy data stacks using container technologies and IaC principles (Docker, Kubernetes).
• Security & Governance: Policies for data protection, access control, lineage tracking, and compliance reporting.

Format & Assessment

• Delivered via interactive online training and live labs for hands-on experience.
• Covers tools including Databricks, Airflow, Kafka, Dataiku, Great Expectations, Grafana, Jenkins, and more.
• Assessment consists of practical exercises, quizzes, and a certification exam.
• Duration: Programs typically run 3 days (bootcamp) to 60 hours (extended course), with both instructor-led and self-paced options.

Who Should Enroll?

• Data engineers, data scientists, DevOps engineers, analysts, IT managers, and architects seeking specialization in DataOps process automation, orchestration, and governance.
• Recommended for professionals responsible for managing or optimizing production-scale data infrastructure.

Recognition & Outcome

• DOCP is recognized by global organizations, demonstrating advanced competence in DataOps workflows and toolchains.
• Graduates earn a digital badge and certificate for professional portfolios and LinkedIn profiles.
• Certification supports career advancement and opportunities in enterprise-grade data engineering environments.