EXL

BI Platforms (Power BI & Cognos) Engineer

EXL  •  Republic of India (Hybrid)  •  4 months ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Engineer responsible for modernizing and operating Cognos and Power BI platforms using Kubernetes, Terraform, GitHub, and Microsoft Fabric.

We are looking for a BI Platform & Cloud Analytics Engineer to design, deploy, and operate enterprise reporting platforms such as IBM Cognos Analytics and Microsoft Power BI / Fabric using cloud-native, automated, and scalable platform technologies. This role bridges BI, Cloud Infrastructure, Kubernetes, and DevOps, enabling secure, highly available, and modern analytics platforms.

Key Responsibilities

· Deploy, manage, and support Cognos Analytics (VM-based and containerized)

· Support Power BI Service, Power BI Gateways, and Microsoft Fabric

· Build and manage BI infrastructure using Infrastructure as Code (Terraform)

· Deploy and operate BI workloads on Kubernetes, Red Hat OpenShift, and ARO

· Implement CI/CD pipelines using GitHub for BI and platform deployments

· Manage YAML-based configurations for Kubernetes/OpenShift workloads

· Enable hybrid and cloud analytics architectures (On-prem ↔ Cloud)

· Support Cognos to Power BI / Fabric migration initiatives

· Ensure platform security, RBAC, monitoring, and operational stability

---

Required Skills

· Experience with IBM Cognos Analytics

· Strong experience with Power BI Service

· Working knowledge of Microsoft Fabric (Lakehouse, Warehouse, Semantic Models)

· Hands-on experience with Kubernetes

· Experience with Red Hat OpenShift / Azure Red Hat OpenShift (ARO)

· Strong experience with Terraform (IaC)

· Experience using GitHub for version control and CI/CD

· Proficiency in YAML configuration files

· Understanding of cloud platforms (Azure preferred)

---

Nice to Have

· Cognos SDK / extensions

· Power BI Deployment Pipelines

· BI platform migration experience

· Cost optimization / FinOps exposure

· SRE or platform operations experience

· 5–9 years overall experience

· 3+ years in BI platform, cloud, or analytics engineering roles

Success Criteria

· Stable, secure, and scalable BI platforms

· Automated deployments with minimal manual intervention

· Faster BI release cycles

· Successful modernization toward Power BI & Fabric

EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
Social Media