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572096 Mid-Level Data Cloud Developer (Data Engineer)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Centro Histórico de São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: We are seeking a Mid-Level Data Developer/Engineer to build a cloud-based data platform, focusing on performance, governance, and quality. Key Highlights: 1. Building a cloud-based data platform for strategic decision-making 2. Collaborative technology team with autonomy to propose solutions 3. Developing and maintaining data pipelines in cloud environments * Cloud, Data, Developer, Developer, Planning, Mid-Level, Senior, Information Systems, Software, Information Technology Do you love data, cloud, and scalability challenges? This role is for you. We are building a cloud-based data platform to support the business’s strategic decisions, with emphasis on performance, governance, and quality. You will join a collaborative technology team empowered to propose solutions and influence architecture. * Develop and maintain data pipelines in cloud environments. * Model data for consumption in reports, APIs, and data products. * Implement best practices for data quality, versioning, and data testing. * Optimize query and data loading process performance. * Collaborate with product, BI, and engineering teams to understand requirements. * Monitor, resolve incidents, and ensure solution reliability. * Document processes, data flows, and data standards. ### **Requirements:** ✔ Experience as a Mid-Level Data Developer/Engineer. ✔ Hands-on experience with cloud platforms (AWS, GCP, or Azure) focused on data. ✔ Proficiency in SQL and knowledge of relational databases and/or data warehouses. ✔ Experience with ETL/ELT and pipeline orchestration (e.g., Airflow, dbt, etc.). ✔ Knowledge of programming languages such as Python or Scala for data processing. ✔ Familiarity with version control (Git) and collaborative development practices. ✔ Fluent Portuguese and availability for fully remote work. ### **Nice-to-Haves:** – Experience with Data Lake / Lakehouse architectures. – Experience with streaming tools (Kafka, Kinesis, Pub/Sub). – Prior work in high-volume data environments. – Knowledge of data governance, data cataloging, and data quality. #### **Language: English** ### **Remote Work Model** **APPLY NOW** -----------------------

Source:  indeed View original post
João Silva
Indeed · HR

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