Junior Data Engineer
HybridTlalnepantla, México, Mexico
Job Summary
Design, build, and maintain data pipelines that integrate data from multiple business and technical systems. Transform raw data into clean, structured, and business-ready datasets for analytics and reporting by supporting scalable ETL/ELT processes and implementing validation checks. Develop lightweight data applications to improve data accessibility and collaborate with Data Stewards, Product Owners, and business teams to deliver reliable data solutions using APIs and modern engineering technologies. Monitor data quality, contribute to data governance and security requirements, and identify opportunities to improve data processes and automation. This role is based in Tlalnepantla as a hybrid position for a Junior Data Engineer with a Bachelor's degree and 1–3 years of experience.
Required Qualifications
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field
- 1–3 years of experience in Data Engineering, Data Integration, Data Analytics, or a related area
- Strong knowledge of SQL and Python
- Experience working with data pipelines, ETL/ELT processes, and data transformation
- Exposure to cloud-based data platforms such as Snowflake, Databricks, Azure, or similar
- Understanding of data modeling, databases, and data structures
- Experience working with APIs and integrating data from multiple sources
- Strong analytical, problem-solving, and troubleshooting skills
- Advanced English communication skills, both written and verbal
- The role is based in Tlalnepantla (hybrid role)
Desired Qualifications
- Experience developing data applications using Streamlit or similar technologies
- Exposure to Data Governance, Data Quality, or Metadata Management concepts
- Experience supporting Analytics, Business Intelligence, or Data Science initiatives
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