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)
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