Description:

We are seeking a motivated and enthusiastic Data Engineer to join our fast-growing fintech company in Latin America.
As a Data Engineer Level 2, you will assist in building and maintaining our data infrastructure, working closely with senior data engineers and data scientists.
You will gain hands-on experience in data engineering best practices, tools, and technologies.
This role offers an excellent opportunity to develop your skills while contributing to impactful projects in a collaborative environment.
Key responsibilities include supporting the design and implementation of data pipelines using Python and SQL to ingest and process data from various sources.
You will help in administering our data warehouse (Redshift), including managing data access and monitoring performance.
You will assist in implementing and maintaining ETL processes to ensure data consistency and quality.
Monitoring data pipelines under guidance, identifying data inconsistencies, and assisting in troubleshooting issues will be part of your role.
You will work closely with data scientists and analysts to understand data needs and ensure availability of required datasets.
Developing basic scripts to automate routine data tasks and improve efficiency will be expected.
Documenting processes, configurations, and workflows to facilitate knowledge sharing and scalability is essential.
You are encouraged to proactively seek opportunities to learn new tools and technologies in data engineering.

Requirements:

A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience is required.
You should have 1-3 years of experience in data engineering or related fields.
Basic proficiency in Python for data manipulation and scripting is necessary.
A fundamental understanding of SQL for querying and managing databases is required.
Exposure to AWS services like Redshift and Lambda is a plus.
An understanding of ETL concepts and basic data processing is needed.
Familiarity with version control systems like Git is a plus.
You should have a strong desire to learn new technologies and improve skills in data engineering.
Careful attention to data accuracy and code quality is essential.
The ability to collaborate effectively with team members is required.
Good verbal and written communication skills are necessary.
Basic analytical skills to troubleshoot issues with guidance are expected.
You should take ownership of assigned tasks and follow through to completion.
Being open to feedback and willing to adjust approaches based on guidance is important.

You will have the opportunity to work in a fast-paced, collaborative setting.
Access to mentorship and opportunities to develop your data engineering skills will be provided.
You will be exposed to cutting-edge fintech technologies and best practices.
There is a chance to contribute to impactful projects and make a difference in the company's success.