As a data engineer, you aim to work hands-on in designing & creating data architectures for the machine learning solutions we build. Every mission we'll embark in will have concrete deliverables and a deadline; this means we can guarantee you a variety of engagements across clients & industries.

You'll be responsible for
(1) designing & building data architectures including the design & set-up of scalable (big) data lakes (full cloud or hybrid cloud), scheduled transformations & data governance
(2) working hand-in-hand with the data scientist deploying machine learning as scalable API services in a perfect fit with the data architecture
(3) assisting the project team in deploying data applications including, if needed, close-to real-time architectures

You will work (standalone or in team) with clients and have a responsibility on managing project timeline, status meetings and client coaching & training.





Your overall responsibilities:
Architect, develop and deploy (both hybrid cloud & full cloud) data architectures in Microsoft Azure
Act as data engineer expert on the latest trends in the data analytics landscape and share best practices with the internal team
Leverage Open Source technology in building scalable and best-practice set-ups
Inspire customers with insights & prospects on recent data-driven use-cases
Work with external vendors and partner technologies including (but not limited to) Azure
Embrace project management aimed towards getting the job done. This will include working with client data engineers and data scientists but also business stakeholders
Be an on- and offline ambassador for the element61 innovation team

📌 Azure Data Engineer Chennai (India)
🏢 Diverse Lynx
📍 India