Data Engineer

Avenue Code; Brasil; Presencial; BRL 120 000 - 180 000; Tempo integral

Resumo da oferta

Avenue Code in Brazil is seeking an innovative Data Engineer to join a highly visible team. You will shape our data strategy, build scalable data pipelines, and empower the business with data-driven insights.

You will collaborate with stakeholders, write production Python and SQL, and leverage Apache Spark to access our S3 data warehouse, designing robust data models and delivering impactful solutions.

Qualificações

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 3+ years of professional experience in Data Engineering.
• Strong data modeling and data pipeline development; Python and SQL production coding.
• Proactive communicator and team player who thrives cross-functional.

Responsabilidades

• Design, build, and maintain scalable data pipelines and data models.
• Write clean, production-level Python and SQL code.
• Use Apache Spark to access and process data from the S3 data warehouse.
• Collaborate with multiple teams to align technical work with business needs.
• Contribute strategic ideas and drive data-driven initiatives.
• Communicate complex concepts clearly to technical and non-technical audiences.

Conhecimentos

Data modeling

Data pipelines

Python

SQL

Apache Spark

Formação académica

Bachelor’s degree in Engineering, Computer Science, or related technical field

Ferramentas

Apache Spark

Descrição da oferta de emprego

About The Opportunity

We are looking for an innovative and driven Data Engineer to join a highly visible team within our organization. In this role, you will be instrumental in shaping our data strategy, directing team investments toward impactful, data-driven initiatives, and fostering a culture of technical collaboration and scalable development. You will tackle complex problems head-on, partnering closely with stakeholders to build robust solutions that empower the entire business.

About The Opportunity

We are looking for an innovative and driven Data Engineer to join a highly visible team within our organization. In this role, you will be instrumental in shaping our data strategy, directing team investments toward impactful, data-driven initiatives, and fostering a culture of technical collaboration and scalable development. You will tackle complex problems head-on, partnering closely with stakeholders to build robust solutions that empower the entire business.

Responsibilities

• Design & Build: Develop, optimize, and maintain scalable data pipelines and robust data models.
• Production Coding: Write clean, efficient, and production-level code in Python and SQL.
• Data Integration: Utilize Apache Spark to access, process, and extract insights from our S3 data warehouse.
• Cross-Functional Collaboration: Partner with various teams across the organization, actively gathering input from stakeholders to align technical deliverables with business needs.
• Strategic Impact: Contribute fresh ideas and help direct the team’s focus toward the most impactful, data-driven directions.
• Problem Solving: Act as a proactive communicator who simplifies complex technical challenges and drives projects forward.

Required Qualifications

• Education: Bachelor’s degree in Engineering, Computer Science, or a closely related technical field.
• Experience: 3+ years of professional work experience in Data Engineering.
• Core Technical Skills: Strong background in data modeling and data pipeline development. Proven experience coding at a production level using Python and SQL. Familiarity with using Apache Spark to interact with an S3 data warehouse.
• Mindset & Soft Skills: Innovative & Resilient: You are inspired to take on new challenges and do not shy away from potential failure, viewing it as a stepping stone to success. Proactive Communicator: You excel at breaking down complex concepts for both technical and non-technical audiences. Team Player: You thrive in a collaborative environment and enjoy working cross-functionally to achieve shared goals.

Nice To Have Skills

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.