Junior Data Engineer
This is a remote position.
At Kiwibot, we are revolutionizing last-mile delivery by building the world's largest robotic delivery network. We believe that the future will be powered by clean and effective technological solutions, and we are committed to providing low or no-cost delivery services to everyone. We are a dynamic, fast-paced organization that values collaboration, creativity, and innovation. We are excited to welcome the next generation of tech talent to our team.
As a Junior Data Engineer, you will play a crucial role in supporting our data infrastructure, working closely with the data engineering team to develop and maintain scalable data solutions. You will assist in optimizing data architectures and building and maintaining ETL pipelines.
As a Junior Data Analyst, you are responsible for developing, testing, and maintaining architectures such as databases and large-scale processing systems. You’ll work under the supervision of senior data engineers or data scientists to assist with managing and organizing data, as well as to develop and maintain data pipelines and data sets. You will collaborate with data scientists, analysts, and other stakeholders to understand data needs and continuously learn and upgrade skills in data engineering tools, languages, and best practices.
As a Junior Data Engineer, a typical day might include the following:
Assist in Building and Maintaining Data Pipelines.
Ensure data accuracy and integrity through quality assurance processes.
Data Storage and Architecture.
Building data lakes and data warehouse.
Data Cleaning and Transformation.
Clean, prepare, and optimize data for consumption.
Develop scripts for data transformation, integration, and cleaning.
Collaboration and Communication.
Collaborate with data scientists, analysts, and other stakeholders to understand data needs.
Communicate effectively with team members and stakeholders regarding data infrastructure and developments.
This job might be the right one for you if you have:
Familiarity with SQL and experience with Python
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Eagerness to learn and adapt to new technologies and tools.
You might also have:
Experience with cloud platforms such as AWS, or Google Cloud Platform.
Knowledge of data modeling and schema design.
Knowledge of Kubeflow
Appscript and development
Career Path: -> Junior Data Engineer - Data Engineer - Senior Data Engineer or Data Architect - Data & Analytics Manager - Data & Analytics Senior Manager - Head of Data & Analytics.
Kiwibot’s Culture & Values:
At Kiwibot, we believe in creating a dynamic and inclusive work environment that fosters diversity, collaboration, and innovation, while embodying our core values of Being Agile, Acting Resourceful, Thinking Disruptive, Creating Happiness, and Loving through service. We approach challenges with resourcefulness, always considering what is important and urgent, and quickly making decisions to address new situations. We use our creativity and ingenuity to disrupt the status quo and make the ordinary extraordinary, fostering a dynamic and joyful work environment that encourages engagement and creativity. Our actions are guided by our commitment to serving everyone with care, kindness, and fairness, constantly seeking to improve the ways in which we operate.
What we offer you:
Opportunity to join a fast-growing startup and help shape and establish the company’s industry leadership in robotic last-mile delivery.
Competitive compensation package.
Being part of one of the top Tech Start-Ups in Latin America that is operating in the US market.
Learn the best practices and methods that are useful in the startup world.