Cloud Data Engineer Sr.
Hace 2 semanas
Jalisco, México
Tata Consultancy Services
Jornada completa
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TCS is looking for a Cloud Data Engineer Sr.
Work modality: Hybrid
(Candidate must be available to work from Guadalajara, Queretaro, Mexico City or Monterrey office 3 day per week)
Required Skills &
Experience:
• Min. 6+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support.
• Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization.
• Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting.
• Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred.
• Advanced experience with Terraform and enterprise CI/CD platforms such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent, including reusable modules and deployment controls.
• Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability. Main
responsibilities:
• Provide technical leadership for Kubernetes and Docker environments, including architecture reviews, upgrades, capacity planning, workload reliability, performance optimization, and production troubleshooting.
• Operational support and platform enablement for Databricks, dbt, Apache Airflow, AutoSys, LASR, and Caspian, including integrations, scheduling dependencies, access, performance, and release readiness.
• Design and implement reusable automation, Infrastructure as Code, CI/CD pipelines, deployment standards, and self-service capabilities that improve speed, consistency, and control.
• Upgrade, patch, vulnerability remediation, access governance, backup validation, disaster recovery exercises, and production change implementation.
• Review solution designs and technical changes for scalability, security, resiliency, supportability, performance, and compliance with enterprise standards.
• Partner with application, data engineering, architecture, security, network, DevOps, and service management teams to resolve dependencies and shape platform roadmaps.
• Identify operational risks, technical debt, recurring incidents, and process gaps; define prioritized remediation plans and track them through closure. We are offering:
• Direct contract
• Full payroll scheme
• Benefits of law and above Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.
Experience:
• Min. 6+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support.
• Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization.
• Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting.
• Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred.
• Advanced experience with Terraform and enterprise CI/CD platforms such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent, including reusable modules and deployment controls.
• Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability. Main
responsibilities:
• Provide technical leadership for Kubernetes and Docker environments, including architecture reviews, upgrades, capacity planning, workload reliability, performance optimization, and production troubleshooting.
• Operational support and platform enablement for Databricks, dbt, Apache Airflow, AutoSys, LASR, and Caspian, including integrations, scheduling dependencies, access, performance, and release readiness.
• Design and implement reusable automation, Infrastructure as Code, CI/CD pipelines, deployment standards, and self-service capabilities that improve speed, consistency, and control.
• Upgrade, patch, vulnerability remediation, access governance, backup validation, disaster recovery exercises, and production change implementation.
• Review solution designs and technical changes for scalability, security, resiliency, supportability, performance, and compliance with enterprise standards.
• Partner with application, data engineering, architecture, security, network, DevOps, and service management teams to resolve dependencies and shape platform roadmaps.
• Identify operational risks, technical debt, recurring incidents, and process gaps; define prioritized remediation plans and track them through closure. We are offering:
• Direct contract
• Full payroll scheme
• Benefits of law and above Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.