Senior Data Engineer

Bogota, Colombia /
GPO LATAM - Engineering /
About PayU 
PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers. 

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. 

Be part of our PayU Team we are looking for our next Data Engineer who will be is tasked with overseeing the full life-cycle of the back-end development of the business’ data warehouse, will be responsible for the development of ETL processes, do improvements in the current process, and design flows to scale database and performance administration.
What you will do:
Provide day-to-day support of the data warehouse and troubleshoots existing procedures and processes.
Creates and supports the ETL in order to facilitate the accommodation of data into the warehouse using Airflow, Python, and other technologies.
Integration of various sources data, integration data warehouse with big data solutions/platform.
Participation in the architectural design, innovation and development of new analytics processes.
Work closely with other departments and teams across the business in coming up with simple, functional, and efficient solutions that balance data needs across the business.
Plays an analytical role in quickly and thoroughly analysing business requirements for reporting and analysis.

What you'll need to succeed:

Entry-level Requirements
Bachelor’s degree in Computer Science, Data Science, Information Technology, Information Systems, Statistics, or any other related field or equivalent experience.

Professional Requirements. Years of experience. (+3)
A candidate for this position must have experience and a high understanding of SQL.
A candidate has to have experience working with ETL tools.
Demonstrate a strong understanding of dimensional modelling as well as other data warehousing techniques.
Have experience in data warehouse development and architecture and hands-on physical and logical database designing.
Have a deep passion for data analytics technologies as well as analytical and dimensional modelling.

About us:  
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more 

Our Commitment To Building A Diverse And Inclusive Workforce 
As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities.