DevOps Engineer 1990

Role Overview

We are seeking an experienced DevOps Engineer to support and enhance our customer data reporting and data cleansing products. The role operates within a DevOps model, combining development and operational responsibilities to ensure high-quality delivery, stability, and continuous improvement of analytics solutions.

Key Responsibilities

Development (Dev)

• Design and develop Power BI dashboards and reports
• Build and maintain SSRS reports
• Write and optimize SQL queries for data extraction and transformation
• Develop and manage ETL processes using SSIS
• Contribute to data modeling and reporting architecture
• Collaborate with stakeholders to translate business requirements into technical solutions

Operations (Ops)

• Provide production support for data and reporting platforms
• Manage and resolve incident tickets (L1/L2/L3 support)
• Execute operational routines and monitoring activities
• Handle deployment and release management activities
• Ensure system reliability, performance, and availability

Expected Deliverables

• High-quality Power BI reports and dashboards
• Stable and optimized data pipelines and ETL processes
• Timely software releases and deployments
• Efficient handling of production incidents and support tasks

Required Skills & Expertise

Primary Skills

• Data Management & Analytics
• Microsoft Power BI (Advanced)
• SQL & Data Query Optimization
• SSRS Reporting
• SSIS / ETL Development

Secondary Skills

• Application Development (Advanced)
• Java (Advanced)
• Container Platforms (e.g., Docker/Kubernetes) – Advanced
• Artificial Intelligence / AI Concepts (Advanced)

Additional Skills

• Strong experience in production support (L1/L2/L3)
• Knowledge of DevOps practices and CI/CD pipelines
• Experience with software release management
• Familiarity with data cleansing and reporting systems

Soft Skills

• Strong problem-solving and analytical thinking
• Ability to work in a DevOps collaborative environment
• Good communication with both technical and business stakeholders
• Ability to manage multiple priorities in a production environment

Nice to Have

• Experience in data reporting platforms for enterprise systems
• Exposure to AI-driven analytics or automation
• Knowledge of cloud platforms (Azure preferred)