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