Expert Data Engineer
Position Snapshot:
Type of Contract: Full Time
Function and Stream: NUSA
Type of work: Hybrid
Work Language: Fluent Business English
The role:
The Expert Data Engineer will be responsible for building, maintaining, and optimizing core data platform capabilities that enable scalable data ingestion, processing, storage, and access across tools such as Databricks, Azure, and Snowflake. This role develops reusable pipelines, frameworks, automation, and platform patterns that ensure data is reliable, performant, secure, cost-effective, and aligned with enterprise standards for governance, security, quality, and interoperability.
The role will operate as an expert technical contributor, partnering closely with business, analytics, data product, engineering, architecture, security, platform, and regional/integral IT stakeholders to strengthen the data foundation for BI, advanced analytics, AI/ML, and enterprise data products.
What you’ll do:
As an Expert Data Engineer you will:
- Design, build, maintain,
and optimize core enterprise data platform capabilities that support scalable data ingestion, processing, storage, transformation, governance, and access across Azure Datalake, Databricks, Snowflake, and related cloud data services.
- Develop reusable data pipelines, engineering frameworks, platform services, templates, automation scripts, and standard patterns that accelerate delivery while reducing operational friction, duplication, and technical risk.
- Architect and implement high-throughput batch, streaming, and near-real-time data processing capabilities using modern data engineering patterns, distributed processing frameworks, orchestration tools, and cloud-native services.
- Optimize Databricks, Snowflake, Azure Synapse, and related platform components for performance, reliability, scalability, cost efficiency, observability, and operational resilience.
- Embed governance, security, quality, lineage, metadata, access controls, auditabil
📌 Expert Data Engineer (México)
🏢 Nestlé
📍 México