Description

- Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
- Develop and manage workflows using Glue, Lambda, and Step Functions.
- Build event-driven integrations using SNS, SQS, and related AWS services.
- Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
- Write and tune high-performance SQL for complex transformations and reporting.
- Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
- Design and Support API-based and JSON-based integrations across internal and external systems.
- Troubleshoot operational issues, identify root causes, and implement corrective actions.
- Contribute to documentation, deployment automation, and engineering best practices.
- Collaborate with stakeholders and mentor junior team members where needed.
- 8-12 years of software development experience across the appropriate platform.
- Solid IT background and experience.




- Experience as an application developer for projects similar in scope and responsibility.
- Strong expertise in Python, PySpark, and SQL.
- Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
- Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
- Strong understanding of ETL best practices, data quality, and operational support.
- Experience with APIs, JSON, and cloud-based data integration patterns.
- Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
- Experience with DynamoDB, EC2, ECS and Batch.
- Exposure to data migration and cloud modernization programs.
- Have a good understanding of performance engineering of code pipelines and near real time systems - Good understanding on Agents and MCP

📌 Big Data Lead (México)
🏢 Hexaware
📍 México