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Senior Data Engineer at Data Meaning. Location Information: Brazil. Senior Data Engineer. Location: . BR, Remote . Position type: . TBD. Job Summary. Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Senior Data Engineers to support future projects and platform modernization efforts across our client portfolio.. Position Summary. The . Senior Data Engineer. will play a key role in supporting the transition and modernization of the client’s data platform. The position will focus on . pipeline migration, operational stabilization, and the implementation of a dbt-based transformation framework. within a Snowflake environment.. This role will work closely with the . Lead Data Architect and the client’s engineering team. , participating in knowledge transfer sessions. . Key Responsibilities:. Develop and maintain . ELT pipelines. using Snowflake, Python, and Apache Airflow. Implement . data ingestion and transformation logic. for batch and incremental pipelines. Convert existing . SQL transformations into dbt models. Implement . dbt testing frameworks. (schema, relationship, freshness tests). Participate in . pipeline walkthroughs and knowledge transfer sessions. with the existing team. Document . data pipelines and operational procedures. Support the . transition from vendor-managed pipelines to Data Meaning ownership. Monitor . production pipelines and data workflows. Troubleshoot . pipeline failures and operational issues. Improve . monitoring, alerting, and operational reliability. Implement . automated data validation and quality checks. Support the development of a . data quality framework.  . Required Skills & Qualifications:. Advanced/fluent english. 8+ years of experience in Data Engineering. Hands-on experience with . Snowflake. Experience working with . Apache Airflow. Strong . SQL (advanced). skills. Strong . Python. programming skills. Experience building: ELT pipelines, Data warehouse transformations, Batch and incremental,  pipelines, Data ingestion pipelines. Experience working in . cloud environments (AWS preferred). Nice to Have. Experience implementing . dbt. Experience with . data platform migrations. Experience with . data pipeline performance optimization