Convera, Pune +1
Core skills: AWS, Snowflake, data ingestion, data transformation, SQL, MLOps and Python
Location: Pune, India (Work from home)
Role Overview
We are seeking a Senior Data Engineer to design, build and operate scalable data pipelines and analytical solutions using AWS and Snowflake. This role will integrate data from enterprise applications, APIs, databases and files, transforming it into reliable datasets for analytics, reporting and AI/ML use cases. The ideal candidate combines strong engineering skills with experience delivering secure, reliable and cost-effective data platforms in production.
There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments. Apply now if you’re ready to unleash your potential.
Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology-led payment solutions to deliver smarter money movements to our customers – helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs.
Our teams care deeply about the value we bring to our customers, which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth-minded, result-oriented people who are looking to move fast in an innovative environment. As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view.
We want to work with the best people and ensure we foster a culture of inclusion and belonging.
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Source: the Convera Greenhouse job board. We last checked this job 4 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.