DevOps Engineer

Overview:

A leading financial institution is seeking a DevOps Engineer with deep expertise in Microsoft Azure to join its Data & Regulatory Reporting division. The role focuses on the development and maintenance of robust, end-to-end data solutions supporting regulatory and risk reporting. This position is ideal for a DevOps professional with strong experience in cloud engineering, data pipeline automation, and infrastructure-as-code (IaC) within enterprise environments.

Key Responsibilities:

1. Data Platform Development & Integration

• Design and implement scalable data pipelines to support risk and regulatory reporting.
• Translate complex data requirements into secure and performant technical solutions.
• Ensure the end-to-end reliability of data delivery workflows.

2. Cloud Infrastructure Engineering (Azure)

• Build and manage Azure-native infrastructure using IaC tools (e.g., Terraform, Bicep, ARM templates).
• Configure secure cloud environments, including networking, identity access, and workload optimization.
• Ensure cloud infrastructure supports data performance and regulatory requirements.

3. DevOps & Automation

• Develop and maintain CI/CD pipelines for infrastructure and data solutions using Azure DevOps.
• Automate infrastructure provisioning, testing, deployment, and monitoring processes.
• Implement logging, alerting, and observability solutions across Azure environments.

4. Collaboration & Compliance

• Work cross-functionally with data engineers, architects, and business stakeholders to align technical solutions with regulatory objectives.
• Ensure adherence to enterprise standards for data governance, privacy, and compliance.
• Contribute to internal documentation and knowledge sharing around architecture and DevOps practices.

Required Skills & Experience:

• Strong hands-on experience with Azure services (e.g., Data Factory, Synapse, Key Vault, VNets, NSGs).
• Advanced proficiency in Infrastructure-as-Code (Terraform, Bicep, ARM templates).
• Experience with CI/CD tools (e.g., Azure DevOps) and scripting languages (e.g., Python, PowerShell, Bash).
• Solid understanding of data transformation tools and platforms (e.g., SQL, PySpark, dbt).
• Experience with data modeling, data warehousing, MSSQL, and Databricks.

Preferred Qualifications:

• Experience in financial services, particularly in regulatory or risk reporting domains.
• Microsoft Azure certifications (e.g., Azure DevOps Engineer).
• Background in large-scale cloud migration or Azure-native data architecture projects.