Data Engineer (Cloud)

Job Summary Data Engineer - Local to Mexico • Source, screen, and payroll candidates in Mexico or Latin America; Spanish language required. • Work in Central Standard Time (CST) zone; roles open to candidates across Latin American countries. • Collaborate with Data Science teams to design, develop, and implement data warehouse architecture and solutions. • Develop, test, and maintain data pipelines, ETL processes, and feature engineering pipelines using AWS (Lambda, S3, Glue, Kinesis, Athena, etc.), Python, SQL, and Unix scripting. • Work with databases such as Snowflake (preferred), Redshift, and DB2; demonstrate strong proficiency in SQL and dimensional modeling. • Implement and support feature stores (e.g., SageMaker, Tekton, Tecton) and work with NoSQL databases. • Utilize CI/CD tools (GitHub, GitHub Actions, CodePipeline, CloudFormation) for automated deployment and code management. • Troubleshoot and resolve complex ETL and SQL issues in Data Lake, Data Warehouse, and Data Mart environments. • Analyze requirements, conduct research, and propose technical solutions to address business needs. • Demonstrate strong analytical, problem-solving, and communication skills; work independently and collaboratively within teams. • Maintain flexibility and adaptability for learning new technologies and methodologies. • Nice-to-have: Experience with Airflow, Informatica PowerCenter/IICS, and industry-standard ETL/ELT tools. • Ensure deliverables are completed in a timely and accurate fashion; provide status reports as required. • Uphold company values, demonstrate integrity, maturity, and a constructive approach to challenges.