LinkedIn y terceros utilizan cookies imprescindibles y opcionales para ofrecer, proteger, analizar y mejorar nuestros servicios, y para mostrarte publicidad relevante (incluidos anuncios profesionales y de empleo) dentro y fuera de LinkedIn. Consulta más información en nuestra Política de cookies.
Selecciona Aceptar para consentir o Rechazar para denegar las cookies no imprescindibles para este uso. Puedes actualizar tus preferencias en cualquier momento en tus ajustes.
We're on a mission to change the tire industry — how it's delivered and how it's experienced. A pioneer in the automotive e-commerce industry, we take pride in our extensive selection of top-name brands and budget-friendly options, ensuring our customers find the perfect tire to suit their needs. As a part of our growing and dynamic team, you'll contribute to our commitment to exceptional service, innovation, and customer satisfaction. Embrace the opportunity to be a driving force behind one of the fastest growing e-commerce companies in the US and apply now!
A bit more about this role:
In this role, you will the automation, development, maintenance, and optimization of our data pipelines and infrastructure. You'll work closely with senior data engineers to process, clean, and transform large datasets, ensuring data integrity and availability for analytics and business decision-making. This position offers hands-on experience with cloud platforms, SQL databases, and ETL processes, providing a strong foundation for growth in data engineering. You will also collaborate with cross-functional teams to understand data needs and contribute to improving data workflows. As part of the team, you'll have the opportunity to learn best practices in data modeling, automation, and performance tuning while working in a dynamic and fast-paced environment. This position will also spend some time to our inhouse IT team to maintain the company's IT-hardware/software.
You will work in an entrepreneurial environment where we are constantly looking to learn what our customers need and to develop better ways to serve them.
Eligibility Requirements
Very good command of the English language (written and verbal)
Finished university degree – in computer science or an engineering field
Availability to work full USA hour shift (EST, CST, MST, or PST)
1-2 years of relevant private sector work experience (fulltime) in the field of IT or data science actively using python and PowerBI
Professional experience working with Python including common libraries like scipy, pandas, scikit-learn etc. (just python coding classes do not count)
Must not have had any disciplinary actions regarding attendance, conduct and/or performance in the past 90 days, and must not be approaching such action.
Responsibilities will include:
Develop and maintain Python scripts and applications for data processing, analysis, and automation.
Design, develop, and maintain Power BI dashboards and reports to deliver actionable insights to stakeholders.
Reviewing data for accuracy, completeness and consistency
Organizing and maintaining electronic records for a company's databases
Analyzing data in order to identify trends and opportunities for improvement
Assisting in creating reports and proposals to present findings to management
Address technical issues and provide IT to ensure smooth business operations
IT management team
Setup of notebooks/servers
Repair and maintenance of computer equipment
the Microsoft management
Design and ownership of security controls and risks including s and s
Attributes to success:
Proven success in building relationships and trust
Comfortable working in a dynamic environment
The ability to pivot based on priority shifts
The ability to comprehend and apply on-the-job training. This training may include learning the company's specific computer programs and procedures.
Desired skills & experience:
Proven experience with Python or other scripting languages – SQL and PowerBI is a plus
High speed Wi-Fi connection
Be able to work 8 hour shifts (i.e. PST)
You're a great team member with a can-do attitude; you're self- reflective
Please submit resume in English.
Nivel de antigüedad
Sin experiencia
Tipo de empleo
Contrato por obra
Función laboral
Tecnología de la información
Sectores
Plataformas de comercio en internet
Las recomendaciones duplican tus probabilidades de conseguir una entrevista con Tires Easy
Buenos Aires, Provincia de Buenos Aires, Argentina
Echa un vistazo a los artículos colaborativos
Queremos impulsar los conocimientos de la comunidad de una forma nueva. Los expertos añadirán información directamente a cada artículo, generado inicialmente con inteligencia artificial.