Data Engineer - Data Ingestion and Transformation

Description

Job Summary: We are seeking a Data Engineer to design, develop, and execute data ingestion and transformation flows for a client in Monterrey, NL. Key Highlights: 1. Design and development of data flows for ingestion and transformation. 2. Centralization of information in a Data Warehouse (Snowflake). 3. Participation in Digital Transformation projects. We are looking for candidates to fill the position of **Data Engineer \- Data Ingestion and Transformation**, assigned to a client in the municipality of Monterrey, NL. Responsibilities: * Design, develop, and execute data flows for ingesting information from legacy systems, centralize the information in our Data Warehouse (Snowflake) for subsequent transformation and consumption by various business audiences. * Requirements: * Bachelor's degree in Computer Science or related field. * Relational databases and SQL * Python * AWS: Glue, Lambda, S3 * Version control software * Implementation, migration, or consolidation system projects * End\-to\-end data process development and optimization * Information analysis and data transformation * Digital Transformation projects * **Intermediate English** * ETL tools knowledge preferred (DataStage) * Cloud platform certification preferred (AWS, Azure) * Spark preferred * Immediate availability Duration: 6-month project, with possibility of extension Work Mode: On-site (hybrid mode negotiable) Working Hours: Mon\-Fri, 8:00 AM to 6:00 PM Statutory Benefits Employment Type: Fixed-term or project-based contract Contract Duration: 6 months Salary: Up to $60,000.00 per month Education: * Completed Bachelor's degree (Preferred) Experience: * End-to-end process development: 3 years (Preferred) * Data analysis and transformation: 3 years (Preferred) * Digital Transformation projects: 3 years (Preferred) * SQL: 5 years (Preferred) * Python: 3 years (Preferred) * AWS: 3 years (Preferred) * DataStage: 3 years (Preferred) * Implementation and migration projects: 5 years (Preferred) Language: * English (Preferred) Work Location: On-site employment