Trianz is a global professional services firm committed to enabling leaders to develop and execute operational strategies, leverage new business and technology paradigms, and achieve results expected by senior management in their organizations- predictably.
What We Stand For
Our clients are transforming their businesses, competitive strategies, product and service portfolios, customer-partner-employee interactions and their ecosystem. The cost of misses is not financial alone but a lost window of opportunity. So getting things right the first time is absolutely critical.
As a result, Trianz is focusing on three important themes in our engagement model with clients.
Crystallize business impact from a top management point of view
Help Clients achieve results from strategy-by making execution predictable through innovative execution techniques
Create a positive, enriching partnership experience in everything we do
Industries, Clients & Practices
Trianz works with clients across High Technology, Banking, Insurance, Manufacturing, Retail, Telecom, e-businesses and Public Services. Most clients are Fortune 1000 organizations and our relationships are sponsored by senior leaders in Enterprise Analytics Sales, Finance, Marketing, Human Resources, Operations and Information Technology. We partner with our clients to address the following key service areas:
Data is the way our clients make decisions. It is the core to their business, helping create an experience for customers and providing insights into the effectiveness of our product launch & features.
As a Data Engineer , you will be a part of an early stage team that builds the data pipelines, collection, and storage, and exposes services that make data a first-class citizen. We are looking for a Data Engineer to build a scalable data platform. You'll have ownership of core data pipelines that powers top line metrics; You will also use data expertise to help evolve data models in several components of the data stack; You will help architect, building, and launching scalable data pipelines to support growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using huge amounts of data to fuel several teams such as Analytics, Data Science, Marketplace and many others.
Valid Through: 2019-11-11