Senior Data Pipeline Engineer - Observability & Security

Qualcomm; Ciudad de México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Qualcomm seeks a senior data pipeline engineer to join the IT Operations Management and Analytics team in Mexico City. You will design and implement scalable data pipelines across Splunk, Cribl, and Datadog to ingest, transform, and route telemetry data.

The role emphasizes optimization for cost, data governance, and secure, reliable data delivery to multiple platforms; collaboration with platform owners and application teams is essential.

Formación

• 3+ years IT-related work experience with a Bachelor's degree.
• 5+ years IT-related work experience without a Bachelor's degree.

Responsabilidades

• Programs data pipelines and system integrations; optimizes and maintains distributed data flows, including sources, transforms, routes, and destinations, to support scalable and flexible log and metric processing.
• Design, implement, and maintain enterprise-scale data pipelines using technologies such as Cribl, Splunk forwarders, and observability pipeline frameworks to ingest, transform, filter, and route telemetry data.
• Define and enforce data routing strategies across multiple platforms (e.g., Splunk, Datadog, ADX, Sentinel), ensuring the right data is delivered to the right system based on use case, cost, and retention requirements.
• Optimize ingestion pipelines to reduce unnecessary data volume through filtering, sampling, aggregation, and transformation, driving cost efficiency without compromising observability or security needs.
• Troubleshoot and resolve complex data ingestion and pipeline issues across distributed systems, including forwarders, collectors, and pipeline infrastructure.
• Collaborate with application teams and platform owners to onboard new data sources, ensuring alignment with enterprise logging standards, schema expectations, and governance policies.
• Establish and maintain standards for telemetry data pipelines, including naming conventions, tagging (CMDB/service mapping), data classification, and lifecycle management.
• Evaluate and implement new pipeline technologies (e.g., OpenTelemetry, vectorized pipelines, cloud-native ingestion services) as part of the broader observability and data platform strategy.
• Improves data quality and participates in data governance and reliability activities; develops and maintains data catalog; implements data enrichment, data cleansing, and data quality improvements.
• Designs optimal data models, builds and manages summarized datasets, leads performance tuning activities, and designs and develops data APIs.
• Performs intermediate level statistical analysis; implements machine learning pipelines in production.
• Analyzes data to discover tasks that can be automated; identifies process improvements; implements automation; develops prototypes and proofs of concept for the selected solutions.
• Serves as a technical lead on a feature or system and works on advanced technical tasks to complete a project.
• Discusses technical issues with project lead to address challenges and resolve problems.
• Writes clear and detailed technical documentation for complex or difficult projects.

Conocimientos

Cribl (Stream/Edge) experience

OpenTelemetry familiarity

Python/Perl scripting

Git/GitHub experience

Unix/Linux knowledge

Educación

Bachelor’s degree in IT-related field

Herramientas

Splunk

Datadog

ADX

Sentinel

OpenTelemetry

Descripción del empleo

Qualcomm seeks a senior data pipeline engineer to join the IT Operations Management and Analytics team in Mexico City. You will design and implement scalable data pipelines across Splunk, Cribl, and Datadog to ingest, transform, and route telemetry data.

The role emphasizes optimization for cost, data governance, and secure, reliable data delivery to multiple platforms; collaboration with platform owners and application teams is essential.