Data Engineer

Role Summary

We are looking for a Data Engineer to strengthen our Engineering team. This position plays a strategic role in the support and evolution of our data platform, ensuring efficient orchestration, scalability and reliability. The professional will be responsible for delivering critical data to the business areas, applying the best engineering practices and proposing continuous technical improvements, always focusing on quality, stability and consistency.

INTELLIPOST DNA

Intelipost is a shipping TMS with solutions that intelligently integrate merchants (such as e-commerce, retailers, industries, marketplaces, logistics operators) and carriers, providing a complete view of deliveries and reducing logistics costs.

It is part of the DNA of every Inteliposter to be ambitious and always seek to deliver more and better. Respect and tolerance are essential for us, and we are passionate about our diversity. We grew as a team and celebrated together all the results achieved. We are Customer Centric and we seek to create a connection with our customers, with simplicity and empathy. We share all possible information and opinions directly and honestly. We recognize our weaknesses and accept our mistakes. We are passionate about innovation and use our creativity, autonomy and voice to propose new ways of doing things.

We are represented by each one and we are all swimming in the same direction.

This challenge is for people who vibrate entrepreneurial energy, are driven by curiosity, don't give up, are focused on overcoming their own limits; they give their best, as they love to work with commitment, dedication and attention to detail; they see changes in environment and culture as opportunities, they learn from their mistakes; they know how to build with other people and enjoy working as a team; They are resilient and like dynamic environments.

Requirements

Desirable

• Experience with non-relational databases (e.g.: MongoDB, Cassandra, DynamoDB);
• Experience with agent platforms, LLMs (Large Language Models) and generative AI, applied to pipelines and data automation.

Benefits

PLR

Medical Assistance

• Dental Assistance
• Transport Voucher (Optional)
• Life Insurance
• Daycare Assistance
• Parental Leave (Maternity/Paternity)
• Intelipost Partnership Program: Wellbeing & Quality of Life
• Day Off in the month of Birthday
• Eating & Drinking, Education and For You.
• Meal Voucher / Food Voucher R$ 924.00 Month (Flexible benefits card)
• Develop and grow in a Startup with a dynamic and challenging environment
• Working with inspiring people.
• *All IP vacancies are open to people with disabilities (PwD).
• *In our selection processes, there is no type of distinction due to gender, sexual orientation, religion, belief, social status or race.
• What are you waiting for? Apply now!

About the Company

You will be part of a multidisciplinary team, made up of professionals passionate about technology, data and real impact on the business. We work collaboratively, with a constant exchange of knowledge, always encouraging individual and collective technical evolution. We are looking for someone who shares this mentality and wants to help build robust and innovative solutions.

• Participate end-to-end in the data cycle: from understanding needs with developers and/or external sources to creating pipelines and data modeling;
• Contribute to data-driven discussions, supporting both the Engineering team and other business areas;
• Implement and disseminate good engineering practices, such as code versioning, automated testing, data validation and metadata documentation;
• Act as a facilitator in the integration between technology, analytics, data science teams and business areas;
• Document processes, flows and deliveries in detail, promoting transparency and knowledge sharing;

Perform data extractions, transformations and analysis, ensuring quality, consistency and reliability of information.

Experience in integration with Data Science, Analytics or Product teams will be considered an advantage.

• Proficiency in SQL, with the ability to write complex and performant queries;
• Experience in data modeling to optimize storage and query structures;
• Solid experience in data engineering, working in ingestion, transformation and orchestration pipelines;
• Experience with orchestration tools (for example: Airflow, Prefect, Dagster or similar);
• Knowledge of Delta Lake and good practices for versioning/management of historical data;
• Experience in data security, including masking, anonymization and governance;
• Working knowledge of cloud computing services (AWS, GCP or Azure), including storage, processing and databases;
• Experience in building and maintaining scalable and resilient data pipelines;
• Knowledge of good versioning practices (Git), CI/CD and agile methodologies;

Good communication and collaboration skills to interact with technical and business stakeholders.