Data Engineer (Cloud)

Responsibilities

• 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.

Qualifications

• Seniority level: Entry level
• Employment type: Contract
• Job function: Information Technology
• Industries: Information Services