We are looking for a savvy Data Engineer to join our growing team of analytics experts. Candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Our ideal candidate is one that has a solid technical background and demonstrable data engineering skills gained in a practical environment and as such those with only theoretical viewpoints will not be considered. The ideal candidate will be able to build on these skills and help deliver and maintain an end-to-end advanced analytics solution on cloud.

You will have exposure with cloud, preferably in Microsoft Azure build and maintain data pipelines, understand CI/CD for end-to-end cloud solutions, be able to manage and maintain pre-existing ecosystems, you will be competent in SQL and Python and able to flex into different variants easily and as required.

We are looking for a Software Engineer to join our growing Engineering team and build out the next generation of our platform. The ideal candidate is a hands-on platform builder with significant experience in developing scalable data platforms. We’re looking for someone with experience in business intelligence, analytics, data science and data products. They must have strong, firsthand technical expertise in a variety of configuration management and big data technologies and the proven ability to fashion robust scalable solutions that can manage large data sets. They must be at ease working in an agile environment with little supervision. This person should embody a passion for continuous improvement and test-driven development.