Job Summary: We are seeking a Mid-Level Data Engineer to work in a collaborative and dynamic environment focused on implementing best practices, developing solutions, and maintaining data architecture. Key Highlights: 1. Collaborative and dynamic environment with continuous learning 2. Development of solutions and support in creating data products 3. Contribution to maintaining and evolving the data architecture Technology, continuous learning, and real-world impact are central to how we evolve. At Objective, you’ll find a collaborative environment where you can grow, exchange knowledge, and build high-quality solutions alongside people who value connections, development, and innovation in practice. We value diversity because we believe that different perspectives strengthen innovation and value delivery. All our positions are open to everyone, with or without disabilities, regardless of age, gender, sexual orientation, ethnicity, religion, or any other characteristic. If you identify with this opportunity, join us in building the future. **WHAT ARE WE LOOKING FOR?** We seek a **Mid-Level Data Engineer** who wants to work with us in a relaxed and dynamic environment, with continuous learning while developing large-scale projects alongside major national and international clients. We have offices in São Paulo and Chicago (USA), but our operations are remote—we prefer to call it *anywhere office*. **ATTENTION!** * For this position, the work model is **on-site**, requiring availability to work in the **Vila Madalena neighborhood, SP** **WHAT WILL THIS PROFESSIONAL DO?** * Implement and apply best practices and processes alongside the Data Engineering team; * Develop solutions and support the creation of data products that simplify and accelerate departmental processes; * Contribute to maintaining and evolving the data architecture; * Design, build, maintain, and optimize data pipelines, **with a focus on Snowflake architecture**; * Work with the following tech stack: **Snowflake**, Azure Cloud, Repos, DevOps, Data Factory, Power BI, SQL, and Python; * Apply best practices for security and data governance in cloud environments; * Support cost management and optimization (FinOps) related to Data Engineering demands; * Understand and challenge requirements raised by Business, IT, or Data teams, contributing appropriate technical solutions. **WHAT IS REQUIRED FOR THIS POSITION?** * Completed undergraduate degree; * **Proven, solid hands-on experience with Snowflake and Azure**; * Experience with projects using **dbt** (integrated with Snowflake); * Solid knowledge of **SQL and Python**; * Experience with **Data Products and/or Data Platforms**; * Experience with agile methodologies; * Proactive mindset with a focus on continuous learning. **HIRING PROCESS STEPS:** * Application * Cultural fit interview * Technical interview * Client interview * Hiring
João Silva
Indeed · HR
João Silva
Indeed · HR
