Senior Analytics Data Scientist: Scalable Data Platforms

Nestlé; Ciudad de México; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Restaurant card

Hybrid work environment

Descripción de la vacante

Nestlé seeks an Expert Data Scientist (Analytics Data) to design, build, maintain, and optimize analytical data capabilities across platforms like Power BI, Snowflake, Databricks, and Azure. You will develop reusable data models, pipelines, and automation to ensure reliable, secure analytics at scale.

The role emphasizes governance, security, and interoperability, with a hybrid work model and competitive benefits in a global IT environment. English fluency is required.

Formación

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, Data Analytics, or related field; equivalent experience will be considered.
• 8+ years of experience in data engineering, analytics engineering, data platform engineering, cloud data platforms, software engineering for data systems, or related technology roles.
• Experience building and optimizing scalable analytical data systems across Snowflake, Power BI, Databricks, Microsoft Azure, Spark, SQL-based platforms, cloud storage, and cloud-native data services.
• Advanced proficiency with SQL and modern programming languages such as Scala, Python, or Java, with strong software engineering practices for reusable, testable, and maintainable code.
• Deep experience designing and operating analytical data platforms, data lakes, lakehouses, data warehouses, hybrid architectures, data pipelines, orchestration frameworks, and enterprise-scale ingestion and transformation patterns.
• Strong hands-on experience with batch, streaming, and near-real-time data processing; ETL/ELT frameworks; structured, semi-structured, and unstructured data integration; and high-volume data movement patterns.
• Experience with Snowflake capabilities such as warehouse optimization, secure data sharing, role-based access, performance tuning, storage and compute management, and governed data consumption patterns.
• Strong knowledge of CI/CD, automation, monitoring, alerting, observability, incident response, root-cause analysis, environment management, and operational excellence practices.
• Strong communication, problem-solving, documentation, stakeholder management, and cross-functional collaboration skills, with fluency in English.
• Proactive and agile mindset, with the ability to work effectively as an expert technical contributor in a dynamic analytics environment.

Responsabilidades

• Design, build, maintain, and optimize analytical data capabilities that support scalable data ingestion, processing, transformation, modeling, governance, and access across Power BI, Snowflake, Azure Datalake, Databricks, and related cloud data services.
• Develop reusable analytical datasets, data pipelines, engineering frameworks, templates, automation scripts, and standard patterns that accelerate delivery while reducing operational friction, duplication, and technical risk.
• Optimize Snowflake, Power BI, Databricks, Azure Synapse, and related analytical platform components for performance, reliability, scalability, cost efficiency, observability, and operational resilience.
• Embed governance, security, quality, lineage, metadata, access controls, auditability, and compliance requirements into analytical data capabilities and data engineering patterns by design.
• Partner with data engineers, analytics engineers, data product teams, architects, platform teams, and business stakeholders to translate business and analytics needs into scalable, reusable, and supportable data capabilities.
• Troubleshoot complex data pipeline, analytical platform, integration, access, compute, storage, performance, and reliability issues; lead root‑cause analysis and drive durable remediation.
• Create documentation, reference implementations, standards, and enablement materials that improve developer productivity, self‑service adoption, and consistent use of analytical data capabilities.
• Stay current with modern analytical data platform practices, distributed systems, data observability, data contracts, metadata‑driven automation, FinOps, MLOps enablement, and platform‑as‑product operating models.

Conocimientos

SQL

Python

Scala

Java

Data modeling

Data pipelines

ETL/ELT

CI/CD

Data governance

English fluency

Educación

Bachelor's degree in CS/Engineering/IS

Herramientas

Snowflake

Power BI

Databricks

Azure

Azure Synapse

Descripción del empleo

Nestlé seeks an Expert Data Scientist (Analytics Data) to design, build, maintain, and optimize analytical data capabilities across platforms like Power BI, Snowflake, Databricks, and Azure. You will develop reusable data models, pipelines, and automation to ensure reliable, secure analytics at scale.

The role emphasizes governance, security, and interoperability, with a hybrid work model and competitive benefits in a global IT environment. English fluency is required.