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Hybrid in Mexico: Mexico City
Data Software Engineering& 6 others
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We are seeking a Data Software Engineer to join our team. In this role, you will contribute to building modern data solutions that support scalable analytics and data-driven decision-making. You will collaborate with cross-functional teams to deliver reliable and efficient data infrastructure aligned with business needs.
Responsibilities
- Design and implement robust data pipelines to support various analytical and operational use cases
- Develop scalable and optimized ETL/ELT processes within the DATIO and AWS ecosystems
- Integrate structured and unstructured data sources to enable unified data access and analysis
- Implement batch and real-time processing strategies to handle diverse data workloads
Requirements
- At least 2 years of relevant professional experience in data engineering or a similar area
- Hands-on experience with DATIO – ADA for developing data solutions within enterprise environments
- Strong Python skills, including managing libraries such as Pandas and PySpark for data processing and analytics
- Proficiency in SQL, with expertise in query optimization and data modeling
- Desirable experience in data processing using Spark for handling large-scale datasets
- Working knowledge of AWS services, including Apache Spark and Hadoop for distributed data processing
- Excellent written and verbal command of English and Spanish at a B2 level or higher
Nice to have
- Experience with AWS S3 for storing both structured and unstructured data at scale
- Familiarity with AWS Glue for building serverless ETL processes and managing data catalogs
- Practical exposure to AWS Lambda for implementing event-driven and serverless data workflows