Responsibilities :
- Work with large and complex data sets to solve a wide array of challenging problems focusing on promoting efficiency, scalability, and simplicity.
- Partner with data stakeholders advocating best practices and continued learning.
- Ownership of end-to-end solutions with the ability to interact and collaborate with counterparts from other teams and backgrounds.
- Help in the optimization of development processes and methodologies with impactful results to existing and new workflows.
- Have an analytic as well as an engineering skillset to be able to understand and implement data pipelines, statistical and financial data transformations
Position Requirements: (it's okay if you don't meet a few of these)
(*) Mandatory
- +5 years of experience in building and improving data platform’s functionalities with an impact on data quality and performance.(*)
- +5 years of experience excelling in SQL skills with hands-on experience on Snowflake and DBT. (*)
- +3 years of experience with fluency in at least one modern programming language, knowledgeable in CI / CD principles(*)
- Knowledgeable in modern data architecture techniques preferably with hands-on experience implementing them.
- Hands-on experience with BI and Analytics visualization tools.
- Familiar with AWS data engineering tech stack.
General requirements:
- English and Spanish proficiency are a must. Being a remote team we favor asynchronous written communication; it's important you can communicate your ideas clearly as you will be interacting with other non-native English-speaking coworkers.
- Work from anywhere, with at least 4 hours overlap with Eastern Time (UTC-4)
- Ability to learn and adapt quickly; there will be many uncertainties and questions that will come up and part of your job will be to do the research, present options, and execute.
Interview Process: We want to find if you are a good match, but just as
important, throughout the process we want you to find if we are a good match
for you
Steps :
- An introductory call with our Recruiter: learn more about the project and tell us about your past experience and what you are looking for in your next role.
- Hiring Manager Interview
- Meeting our Engineering team: you will talk with one of our Senior Engineering team members.
- Technical Interview
- Reference check
- Offer