Data Engineer Growth
Rappi
Bogotá, CO
hace 4 días

YOUR NEXT STEP IS AT RAPPI! Rappi is one of the first Latin American unicorns and a start-up that continues to focus on growing and making life easier for our users.

As a company, we seek to continue improving the services we already offer, add more to our offer and continue expanding throughout the Latin American continent.

Hey, keep it in mind that Rappi is an equal opportunity employer and hires qualified individuals regardless of gender, race, sexual orientation, religion, nationality, age, disability or background.

You'll be most welcome here! At Rappi we think big! We are building our financial ecosystem willing to become the biggest digital bank in Latin America.

To accomplish this mission we need a world class team that delivers high quality financial products into the market. Data is our biggest asset and we are building a truly data driven company.

We are hiring the most talented engineers in Latin America and we want you to join them. Working in Technology at Rappi Pay is not about fixing legacy systems.

It is about building world-class products from the ground up that will be used by millions. We are looking for a Data Engineer who will be responsible for building, improving and maintaining a scalable data pipeline infrastructure required for extraction, transformation, and loading of terabytes of data from thousands of sources to our analytics platform.

You will have the opportunity to apply cutting-edge technologies in a large scale environment with a challenging rapid growth pace, taking ownership of both internal and external services, and applying all your skills to make an impact on the whole company.

You will be working with a skilled group of international tech specialists, in a high pressure hard-work environment.

Responsibilities

  • 3 years of experience as a Data Engineer
  • Maintain and manage data pipelines, DAGs and processes . (SQL, & Python / Airflow).
  • Audit databases regularly to maintain quality and reliability .
  • Assemble large, complex sets of data that meet non-functional and functional business requirements.
  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using SQL technologies and Python.
  • Must have

  • Be capable of refactoring legacy code focusing on readability and reliability .
  • Advanced experience in at least one database (SQL Server, Oracle, etc. Pref : Snowflake or MySQL).
  • Data pipelines and data orchestration experience with Apache Airflow, Luigi or similar. Or solid backend experience in any language (Pref : Python).
  • Or experience as an ETL engineer.

    Nice to Have

  • Business Process Improvement (BPI), Business Process Engineering (BPE), Business Process Management (BPM), Business Process Automation (BPA), and / or Business Intelligence (BI) experience.
  • Quality Engineering and Reliability Engineering knowledge.
  • Experience in one of the fields / areas :
  • Growth / Marketing
  • Automotive / Manufacturer industry
  • Heavy industry
  • Fintech
  • Managing integrations and api authentications
  • Experience (at least one) :
  • Agile / Scrum
  • Lean
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