Data & Analytics DevOps Engineer

Deltek; Philippines; Sur place; PHP 600 000 - 1 100 000; Plein temps

Résumé du poste

Deltek in Philippines seeks a DevOps/Data Platform Engineer to build and maintain Azure DevOps CI/CD pipelines for data workloads, support Snowflake environments, and ensure smooth deployment of data models and BI assets.

You will collaborate with Data Engineering, BI, Infrastructure, Security, and Data Science teams to improve platform reliability and automate routine admin tasks.

Qualifications

• 3–5 years of experience in DevOps, Data Engineering, platform engineering, or analytics engineering.
• Hands-on experience with Azure DevOps, Git, CI/CD pipelines, and release processes.
• Working knowledge of Snowflake or a comparable cloud data platform.
• Experience with SQL and deploying data or analytics solutions across multiple environments.
• Familiarity with dbt or similar data transformation and modeling technologies.
• Experience with scripting or automation using Python, PowerShell, SQL, APIs, or similar tools.

Responsabilités

• Build and maintain Azure DevOps CI/CD pipelines for data engineering workloads.
• Support deployment and promotion of data models, databases, pipelines, and configurations across environments.
• Provide day-to-day Snowflake operations: configuration, maintenance, monitoring, performance, access, troubleshooting.
• Support Fivetran connectors and data integration processes, including monitoring failures and schema changes.
• Assist with Power BI deployment pipelines, workspaces, and refresh monitoring.
• Automate platform administration and support activities via scripting and APIs.
• Assist with data catalog administration, security, governance, and connectivity.
• Collaborate with Data Engineering, BI, Infrastructure, Security, and Data Science teams.
• Assist with Data Science and ML deployment processes as capabilities mature.

Connaissances

DevOps

Data engineering

Analytics engineering

Scripting/Automation

Cross-team collaboration

Outils

Azure DevOps

Git

CI/CD pipelines

Snowflake

dbt

Python

PowerShell

APIs

Description du poste

• Build and maintain Azure DevOps CI/CD pipelines for Data Engineering, dbt, Snowflake, and analytics workloads.
• Support deployment and promotion of data models, database objects, pipelines, and configurations across development, test, and production environments.
• Provide day-to-day operational support for Snowflake, including environment configuration, maintenance, monitoring, performance, access, and troubleshooting.
• Support Fivetran connectors and data integration processes, including monitoring failures, schema changes, and data movement.
• Support DevOps and operational processes for Power BI, including deployment pipelines, workspaces, semantic models, gateways, connections, and refresh monitoring.
• Automate recurring platform administration, deployment, and support activities using scripting, APIs, and workflow automation.
• Support data catalog administration, security, governance, and platform connectivity.
• Assist with integrations to AI and automation technologies such as n8n, Snowflake MCP, and related tools.
• Maintain deployment standards, operational documentation, and support runbooks.
• Partner with Data Engineering, BI, Infrastructure, Security, and Data Science teams to improve platform reliability and operational efficiency.
• Assist with Data Science and ML deployment processes as those capabilities mature.

Qualifications:

• 3–5 years of experience in DevOps, Data Engineering, platform engineering, analytics engineering, or a related role.
• Hands-on experience with Azure DevOps, Git, CI/CD pipelines, and release processes.
• Working knowledge of Snowflake or a comparable cloud data platform.
• Experience with SQL and deploying data or analytics solutions across multiple environments.
• Familiarity with dbt or similar data transformation and modeling technologies.
• Experience with scripting or automation using Python, PowerShell, SQL, APIs, or similar tools.
• Strong troubleshooting and problem-solving skills.
• Ability to work effectively across Data Engineering, BI, and infrastructure teams.