Data Engineer / ETL Developer Data is at the core of innovation and progress. In this role, you will work independently, become a subject matter expert, and actively contribute to technical discussions and solution design. Your expertise in data engineering and Python development will help drive impactful, high-quality solutions across the organization. We are looking for someone passionate about data, automation, and cloud technologies who is eager to bring fresh ideas and make a meaningful impact. Key Responsibilities Develop reusable workflows for data ingestion, data quality assurance, data transformation, and data optimization. Build scalable ETL/ELT data pipelines using modern data engineering tools. Deploy reliable and efficient data solutions into production environments. Migrate data from legacy data warehouses using cloud architecture best practices. Automate data flows to enable seamless and efficient data consumption. Design and implement business processes that support data governance initiatives. Define and advise on data quality rules and compliance policies. Collaborate with cross-functional teams to deliver scalable and high-performing solutions. Required Skills Intermediate proficiency in Python. Intermediate proficiency in Shell Scripting. Experience with ETL/ELT pipeline development. Bachelor’s Degree in a relevant field. Strong analytical and problem-solving skills. Preferred / Nice-to-Have Skills Apache Spark. Databricks SQL. SQL Database Queries. Unix/Linux environments. Data pipeline orchestration tools. Additional Requirements Advanced English proficiency. Hybrid position based in Monterrey or Mexico City. +5 years of relevant professional experience. #J-18808-Ljbffr