Lead Data Engineer for Support Consolidation - Ingeniero de datos líder para la consolidación de soporte

Lead Data Engineer for Support Consolidation - Ingeniero de datos líder para la consolidación de soporte

In the role of Lead Data Engineer for Support Consolidation, you will support, lead, develop and manage data pipelines implementations and API integrations, optimize Databricks workflows for largescale data processing, collaborate on data lake design and implementation, lead the deployment of AWS based data solutions, mentor team members and promote best practices in data engineering.

Locations for this position are Mexico (Mexico City, GDL and MTY) hybrid work as per Infosys Mexico's policy during CST time.
Basic Qualifications:

• Bachelor's degree or foreign equivalent required from an accredited institution.
• At least 8-10 years of experience in Information Technology .
• Strong communication skills + English Level.
• Strong problem-solving skills.

Mandatory Skillsets:

• Extensive experience in Python.
• Deep understanding of Databricks architectures.
• Hands-on expertise in AWS cloud services.
• Experience in API development.

AWS skill:

• Proficiency in AWS core services like Lambada and Step functions, API Gateway, S3, DynamoDB and RDS.
• Exp in serverless architecture using AWS Lambda and Step functions.
• Exp in microservice and containerization (docker, kubernetes).
• Understanding of AWS Well-Architected Framework and cost optimization strategies.
• Implement CI/CD pipeline using tools like AWS code Pipeline, Jenkins or GitHub Actions.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like AWS CloudFormation or Terraform.
• Monitor applications and systems using tools AWS CloudWatch and X-Ray.

Core Python skill

• Good hands-on expertise in Python, with good knowledge of Python web framework.
• Some Experience with Python based UI framework.
• Develop, test and deploy Python-based applications on AWS.
• Both front end and Back-end experience in Python required.
• Good knowledge of databases like SQL that can be used for these applications.
• Preferable experience in developing and deploying machine learning and Artificial Intelligence services/applications.
• Should be able to develop front end interfaces and back-end services.
• Working knowledge of JavaScript, CSS, HTML, and SQL.
• Team Handling experience.

Good to have:

• MLOps and Palantir experience.

Other Relevant Experience:

• Previous production or operations support experience.
• Optimize application performance and trouble shoot bottleneck.
• Work with cross function teams, including QA, DevOps and product managers, to align technical solutions with business goals.
• Knowledge of Agile Methodologies such as Scrum is required.
• Proven ability to lead projects and mentor junior engineers.
• Proven experience leveraging DevSecOps and lean principles such as Continuous Integration and Continuous Delivery.
• Deep understanding of full stack design patterns and designing loosely coupled architecture.
• Ability to work with a dynamic team in a collaborative way.