IBM Data Engineer - AWS/ETL/Python 

Mexico, Jalisco, Guadalajara 

532155311

Day-to-day troubleshooting of forecasting systems, mainly working through data anomalies that cause inaccurate forecasts or prevent forecasts’ generation.Create dynamic object-oriented methods, full stack solutions, and integrations to existing code solutions.
Develop individual Python classes, methods, functions that support the data flow of existing and new projects.
Work on code additions to seamlessly support projects for data flows, including logging and support, with little to no supervision.
Experience in modifying packages, testing, and repository instances to support CI/CD.
Design, develop, test, and deploy Python applications on AWS, ensuring high availability, scalability, and security
Develop and maintain technical documentation for Python applications and AWS infrastructure
Optimize application performance, scalability, and reliability using AWS services such as:
+ Serverless technologies (Lambda, API Gateway, Step Functions)
+ S3 for data storage and retrieval
+ Glue for data integration and ETL
+ SQS and SNS for message queuing and notification
+ Cognito for user authentication and authorization
+ CloudWatch for monitoring and logging
Implement automated testing, deployment, and monitoring using tools like Jenkins, Docker, and CloudWatch
Troubleshoot and resolve technical issues in Python applications and AWS infrastructure
Stay up-to-date with the latest developments in Python and AWS, and apply this knowledge to improve our applications and infrastructure
Design and develop Serverless front-end applications using AWS services such as API Gateway, Lambda, and S3
Implement PDS Proxy to handle data processing and analytics workloads
Integrate AWS services with external systems and APIs using APIs, SDKs, and other integration tools
Implement Row Level Security (RLS) to segregate data and ensure secure access to sensitive information
Design and implement data models and database schemas for DynamoDB and PostgreSQL
Design and develop data ingestion pipelines using AWS Lambda, Glue, AWS Batch and restful API’s
Thorough understanding of AWS cloud concepts and related technologies like AWS VPC, Subnets, AZ’s, SG, IAM policies & Roles, EC2, AWS ALB, API Gateway, ECS, RDS, AWS MSK, Kinesis, SQS, SNS, S3, DynamoDB, Secret Manager, Cloud Watch, Cloud Formation scrips(yaml/json), AWS CDK.
Collaborate with cross-functional teams to identify and prioritize project requirements
Knowledge of API unit & performance testing tools like postman, JMeter, SOAP UI is a plus.Mentor and provide technical guidance to junior developers, fostering their growth and helping them overcome challenges.Ensure compliance with development standards, security guidelines, and best practices.
Conduct code reviews to maintain high code quality, consistency, and adherence to coding standards.