We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are looking for a Data Platform Developer to join our team in our development center, working with a major US client in a fast-paced, high-impact environment. In this role, you will architect and implement robust data pipelines and modern analytics platforms, working in close collaboration with cross-functional teams across the US and Brazil. You will be responsible for building scalable data solutions leveraging modern cloud-native tools. Fluent English communication is essential for engaging with our global stakeholders and ensuring alignment across distributed teams. Requirements for this challenge: - Solid experience as a Data Developer - Strong SQL expertise with the ability to optimize, refactor, and validate large-scale data transformations. - Proficiency in Python (or similar language) for scripting and automation of data workflows. - Hands-on experience with Snowflake, including performance tuning, data governance, masking, and workload management. - Advanced knowledge and production experience with dbt for transformation logic, testing, documentation, and CI/CD integrations. - Proven experience implementing Data Vault 2.0 models, including Hubs, Links, Satellites, PIT tables, and business vault patterns using AutomateDV or similar frameworks. - Experience orchestrating ETL/ELT pipelines using Airflow, with knowledge of DAG structuring, dependency management, and dynamic task generation. - Familiarity with modern data orchestration tools, such as Prefect, Dagster, or AWS Glue. - Comfortable working in environments using CI/CD pipelines with GitHub Actions, integrating dbt, testing, and deployment to Snowflake or similar platforms. - Solid understanding of data modeling best practices, including normalization, dimensional modeling, and historization. - Ability to translate business requirements into scalable data architectures, and to communicate technical concepts effectively with stakeholders. Nice to have: - Experience with data observability tools like Monte Carlo, Datafold, or Great - - Expectations to ensure trust in data pipelines. - Experience with containerization technologies like Docker or Kubernetes for reproducible environments and scalable deployments. - Exposure of SAP - Knowledge of GraphQL, RESTful APIs, or streaming ingestion frameworks such as Kinesis or Firehose. - Experience working in hybrid architectures, including data lakehouses, or multi-cloud strategies. #LI-JP3 Our benefits include: - Premium Healthcare - Meal voucher - Maternity and Parental leaves - Mobile services subsidy - Sick pay-Life insurance - CI&T University - Colombian Holidays - Paid Vacations And many others. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions. #J-18808-Ljbffr