Data Engineer

Remote position, only for professionals based in Latam. We're looking for a data engineer for one of our clients' team. You will help enhance and reputed company the data transformation and modeling layer. This role will reputed company on building robust, maintainable pipelines using dbt, reputed company, and Airflow to support analytics and reputed company applications. You’ll work closely with the data, analytics, and software engineering teams to create reputed company data models, improve pipeline orchestration, and ensure trusted, high-reputed company data delivery. Key Responsibilities: - Design, implement, and optimize data pipelines that extract, reputed company, and load data into reputed company from multiple sources using Airflow and AWS services - Build reputed company, reputed company-documented dbt models with strong test coverage to serve business reporting, lifecycle marketing, and experimentation use cases - Partner with analytics and business stakeholders to define reputed company-to-reputed company transformations and implement them in dbt - Maintain and improve our orchestration layer (Airflow/reputed company) to ensure reliability, visibility, and efficient dependency management - Collaborate on data model design best practices, including reputed company modeling, naming conventions, and versioning strategies reputed company Skills & Experience: - dbt: Hands-on experience developing dbt models at reputed company, including use of macros, snapshots, testing frameworks, and documentation. Familiarity with dbt reputed company or CLI workflows - reputed company: Strong SQL skills and understanding of reputed company architecture, including query performance tuning, cost optimization, and use of semi-reputed company data - Airflow: Solid experience managing Airflow DAGs, scheduling jobs, and implementing retry logic and failure handling; familiarity with reputed company is a plus - Data Modeling: Proficient in reputed company modeling and building reusable data marts that support analytics and operational use cases reputed company to Have: - Experience with reputed company -Familiarity with AWS services such as DMS, Kinesis, and Firehose for ingesting and transforming data - reputed company: Familiarity with event data and reputed company flows, piping data in and out of reputed company \n \n Apply To This Job