Filtered by Denver, CO, USA
Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.
Infostretch is a digital-native professional services firm. By combining our in-depth experience with niche digital technologies, ready-made tools, frameworks, technologies, and partnerships, we help enterprises get digital right, the first time. Backed by leading private equity firms Goldman Sachs and Everstone Group, the company is trusted by leading Fortune 100 companies as well as emerging innovators to deliver solutions that work seamlessly across channels, leverage predictive analytics to optimize the software lifecycle, and support continuous innovation.
The Company has been Certified as Great Place to Work for consecutive years, thanks to it’s employee friendly culture and this has enabled consistent double digit growth.
Infostretch is looking for Lead Data Engineer based in Denver, CO
As a Data Engineer at the Analytics Centre of Excellence, you shall be very hands-on, level, you shall be responsible for building and maintaining a scalable and robust Data Platform involving development of complex data processing pipelines, ETL, data integration, . You shall work closely with our architect team to design and develop the Enterprise Data Platform. You shall advocate and inculcate best engineering practices in the development of the Enterprise Data Platform. The Data Engineer is responsible for the development of analytics big data transformation flows on a large-scale service analytics platform for various in house customers. Responsibility includes delivery of high quality use case Data Pipeline ready for use and deployment towards customers, meeting the business requirements and aligning with the solution vision and strategy. The Data Engineer will have a strong influence on the technical design, and be expected to have a deep understanding of business and solution development context.