Data Engineer

About Adimplere

Adimplere is a debt collection Fintech, with a tech-intensive approach to deliver great recovery performances to our partners and a seamless experience to the customer. The company aims to maintain itself as the top performer in the market and continuously improve the credit collection efficiency. The Brazilian debt collection market is currently dominated by outdated players whose operations are focused on massive and inefficient call centers. Adimplere outperforms the traditional players by using a data-driven operation and artificial intelligence on several steps of its processes.

Our headquarter is located in São Paulo, with a top-notch team of professionals. Adimplere has a challenging working environment and a meritocratic culture.

Our Data Chapter

Adimplere is a technology-oriented company that is rethinking debt collection in Brazil. We are looking for outstanding Data Engineers to help us build a world-class data infrastructure.

We believe in:

·       Strongly collaborative teams;

·       Enthusiasm for building new products features and improvements;

·       Environment which supports professional development. Though very pragmatic, we do study a lot and we promote discussions across all seniority levels (You may discuss Multicolumn Indexing with the CEO occasionally);

·       Constructive feedback culture, either formal and informal.

What are the challenges a Data Engineer will face at Adimplere?

·       Develop and improve services to load, transform and consume data, employing cutting edge technologies and the best tools available in the market;

·       Interact with data science and operations PMs to keep a deep understanding of their business needs and support projects that rely on data infrastructure;

·       A constant pursuit for improvements in aspects like scalability, resource-efficiency, latency and flexibility for our data services;

At Adimplere we have massive and complex datasets with conversation texts, images, user behavior events and operation data. We have a wide range of data applications like machine learning algorithms, data discovery, dashboards and periodic reporting to customers.

Requirements

There is not a single skill set to make valuable contributions, we are looking forward to meet people with diverse backgrounds. However, we believe you will be a fit for this position if some of these points are part of your profile:

·       Sound knowledge of data manipulation programming, particularly Python;

·       Experience as software engineer in Datawarehouse / ETL projects;

·       Experience with data visualization tools (Tableau, Metabase, Power BI);

·       A product mindset, in which engineering costs are measured against the benefits to our product;

·       Sound knowledge in relational and non-relational databases (PostgreSQL, MongoDB)

·       Experience in technologies like Kafka, Cassandra, Airflow and Spark