4 publicaciones de empleo destacadas en devops engineer (observability) (¡Están contratando!)

Azure DevOps Architect
Cognizant —Colonia Polanco, CDMX
- Turno de 8 horas
- Trabajo híbrido
- Azure
- DevOps
- SQL
1d
Head of Applications Architecture
Citi —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Servicios financieros
10h
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
1d
Senior Java Backend Engineer - Azure Microservices
NTT Ltd —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
1h

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Technical Support Engineer 2 (Mexico City)
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Work from a Datadog office 3 - 5 days per week. An engineer with previous technical troubleshooting and/or programming experience.
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Azure DevOps Architect

Cognizant -
Colonia Polanco, CDMX

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Información del empleo

Tiempo completo
Hace 1 día

Cualificaciones

Modelado de datos
Azure
DevOps
Spark
SQL
Scala
Kafka
Python
PowerShell
Directorio activo

Descripción completa del empleo

1. Job Title : Architect 2. Job Summary : Architect role in a global organization responsible for designing and guiding delivery of scalable data and analytics solutions using Spark in Scala PySpark Azure Synapse Kafka and related Azure services. Role includes defining technical standards ensuring data reliability optimizing performance and enabling secure data platforms that support media domain use cases in a hybrid day shift model without travel.

3. Experience : 13 - 15 years 4. Required Skills : Technical Skills: Spark in Scala Synapse Pipelines Azure CLI Azure PowerShell Structured Streaming Kafka Azure Monitor Azure Data Lake Store Azure Key Vault Azure DevOps Python Azure SynapseServerlessSQLPool Azure Synapse Spark Pool SQL PySpark Domain Skills: 5. Nice to have skills : Domain Skills: Media 6.

Technology : Cloud Native Platform Development 7. Shift : Day 8. Responsibilities : -Design and architect end to end data platforms that use Spark in Scala PySpark and Azure Synapse services to deliver robust analytics capabilities for complex enterprise scenarios in a hybrid work environment -Develop scalable data ingestion and transformation solutions using Structured Streaming and Kafka that provide near real time insights while maintaining reliability and consistency across environments -Define logical and physical data models optimized for Azure Data Lake Store and Synapse Serverless SQL Pool to ensure efficient storage query performance and cost effectiveness for large media datasets -Implement secure data access patterns using Azure Key Vault and Azure Active Directory integrations that protect sensitive information while supporting governed self service analytics for diverse stakeholders -Configure monitor and optimize Azure Synapse Spark Pools and related compute resources to balance performance scalability and consumption costs for batch and streaming workloads -Create reusable patterns and reference architectures for Synapse Pipelines and Azure DevOps that enable continuous integration and continuous deployment of data solutions with strong quality controls -Develop automation scripts using Azure CLI Azure PowerShell and Python that streamline environment provisioning configuration management and operational tasks for data and analytics platforms -Establish monitoring and observability practices using Azure Monitor and related logging capabilities that provide proactive detection root cause analysis and performance tuning insights -Collaborate with product teams data engineers and analysts to translate media domain requirements into data solutions that improve audience insights content performance measurement and revenue optimization -Review solution designs SQL and PySpark code and configuration implementations to ensure adherence to architectural standards data governance policies and security guidelines -Guide optimization of complex SQL and PySpark queries and data flows that improve latency throughput and resource utilization for both interactive analytics and scheduled workloads -Document architecture decisions solution blueprints and operational runbooks in clear and maintainable formats that support knowledge sharing and long term platform sustainability -Engage with stakeholders to prioritize technical debt reduction and platform evolution activities that increase reliability reduce incident risk and align data capabilities with strategic business objectives -Qualifications -Showcase extensive experience of thirteen to fifteen years in designing and implementing large scale data solutions with a strong focus on Spark in Scala PySpark and Azure Synapse services in enterprise settings -Demonstrate advanced proficiency in building data pipelines with Synapse Pipelines Kafka Structured Streaming and SQL that support both batch and streaming patterns for analytical and operational use cases -Exhibit strong skills in Azure Data Lake Store Azure Synapse Serverless SQL Pool and Azure Synapse Spark Pool that enable performant data modeling storage optimization and compute configuration -Display solid experience with Azure CLI Azure PowerShell and Python scripting that supports automation environment provisioning and operational efficiency across multiple Azure subscriptions -Apply deep understanding of Azure Monitor Azure Key Vault and Azure DevOps to ensure secure observable and continuously delivered data platforms that meet enterprise compliance requirements -Prefer experience in media domain data such as audience measurement content analytics and digital engagement metrics that boosts the relevance and business impact of the designed solutions -Value experience working in hybrid work models and day shift alignment that supports collaboration across distributed teams and effective participation in global delivery contexts 9. Job Location : Primary Location : MXCDMECA01(ITMEX MexicoCy CD-Plaza Polanco-COG) Alternate Location : NA NA Alternate Location 1 : NA NA 10.

Job Type : Manager - Projects [50PM00] 11. Demand Requires Travel? : No 12. Certifications Required : NA

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