Description

- Mid Level Dev AWS Data Engineer with 4-8 years of software development experience Build and maintain ETL pipelines using Python and PySpark on AWS Glue and related platforms.
- Orchestrate workflows using AWS Step Functions and Lambda.
- Implement messaging and event-driven integrations using SNS and SQS.
- Design and optimize storage and querying solutions in Amazon Redshift, RDS, Oracle and S3-based architectures.
- Write efficient SQL for transformations, validation, and reporting.
- Integrate data from APIs and process structured and semi-structured JSON data.
- Implement data quality checks, monitoring, and operational support processes.
- Participate in CI/CD and version control practices for deployment and release management.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- 4-8 years of software development experience across the appropriate platform.
- Strong hands-on experience with Python, PySpark, API’s and SQL.




- Experience with ETL/data pipeline development and Orchestration using Step functions / AirFlow .
- Working knowledge of AWS services including Glue, Lambda, Step Functions, Redshift, S3, SNS, and SQS.
- Experience with Athena, EMR, Kinesis, DynamoDB, or RDS.
- Good Knowledge on CloudWatch, logging, and production support.
- Understanding of data warehousing, data lakes, Lake House and query optimization.
- Experience with GitLab/Terraform or similar and CI/CD workflows.
- Good understanding of using AI tools like Github Copilot or similar for code productivity - Exposure to enterprise data lake or cloud migration initiatives.
- Have an eye to solving complex problems, great communication with stakeholders - Have a good understanding of performance engineering of code pipelines and near real time systems - Good understanding on Agents and MCP"

📌 Big Data Engineer (México)
🏢 Hexaware
📍 México