Senior DevOps Engineer

**Company Description**
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Walgreen - IDI thread (to be completed )
**Qualifications**
Devops IDI
DevOps Engineer - IDI (Nearshore)

Tech Stack: Azure DevOps, Databricks CLI, Terraform, Python, CI/CD Pipelines, Azure Monitor, KeyVault

Key Interfaces: Developers, QA, Deployment Engineer, Onshore DevOps Lead, Technical Delivery Manager

**Responsibilities**:

- Build and maintain deployment pipelines for data ingestion and analytics. Build and maintain CI/CD pipelines for ADF, Databricks notebooks, Spark jobs, and Power BI using Azure Pipelines.
- Configure monitoring and alerting using Azure Monitor and Log Analytics for pipeline health and cost tracking.
- Automate provisioning of compute clusters and environments for Spark jobs
- Integrate security, logging, and monitoring tools for data platforms. Enforce security: manage RBAC, Key Vaults, data encryption (Voltage), and secure deployment practices.
- Support rollout of Databricks notebooks, workflows, and ADF pipelines.
- Integrate and automate Event Hubs, ADF, Databricks, and Spark job orchestration
- Partner with QA and Data Engineers for test environment readiness

Required Experience:

- 5+ years in DevOps with strong data pipeline experience
- Familiarity with Databricks deployment and infrastructure-as-code
- Strong Azure DevOps, Terraform, and scripting (Python) experience
- Experience supporting large-scale ETL jobs and analytics platforms Technical Skills

Must-Have
- Azure DevOps / Azure Pipelines (YAML-based pipelines, service connections)
- Azure Data Factory (ARM or template-based deployment, JSON configs)
- Azure Databricks (notebook versioning, dbutils, CI/CD integration)
- Python & Scala (for Spark jobs and deployment scripts)
- Azure Monitor, Log Analytics, Application Insights
- Azure Storage (ADLS Gen2), Event Hubs
- Power BI (workspace deployment, REST API usage)
- RBAC, Key Vault, Azure Security Center
- Git (repo strategy, branch mgmt, PR automation)

Nice-to-Have
- Azure CLI, PowerShell scripting for ad hoc resource mgmt
- Purview integration (lineage tracking, data classification policies)
- Cost Management tools in Azure + 3rd-party (e.g., CloudHealth, FinOps practices)
- Experience with Voltage SecureData or similar (tokenization, masking frameworks)
- Experience with secrets management at scale (Key Vault + pipeline secrets)

**Additional Information** Additional information**

Discover some of the global benefits that empower our people to become the best version of themselves:

- ** Finance**: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- ** Career Development**: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- ** Learning Opportunities**:Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- ** Work-Life Balance**: Hybrid work and flexible working hours, employee assistance programme;
- ** Health**: Global internal wellbeing programme, access to wellbeing apps;
- ** Community**: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.