Dropbox14.05.2026
Senior Data Engineer, AI and Systems Engineering
Remote - Mexico
Обязанности
- 01Design and build scalable data pipelines using Databricks and Spark to ingest, transform, and unify data from multiple enterprise systems
- 02Develop and maintain medallion architecture (Bronze, Silver, Gold) data models to create reliable and performant “Golden Record” datasets
- 03Implement data normalization, mapping, and entity resolution techniques (e.g., fuzzy matching, XREF tables) to unify asset data across disparate systems
- 04Build data workflows to detect and surface Shadow IT across financial, identity, endpoint, and network signals and integrate results into CMDB systems
- 05Partner with IT, Security, Finance, Procurement, and GRC teams to define and enforce data standards for critical CMDB attributes (e.g., ownership, approval status, lifecycle)
- 06Develop and maintain data integrations and APIs to synchronize curated datasets into operational systems such as ServiceNow and Jira Assets
- 07Monitor, troubleshoot, and improve data quality, reliability, and observability across the data platform
- 08On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.
Требования
- 019+ years of experience building and maintaining data pipelines and large-scale data platforms
- 02Strong experience with Databricks, Apache Spark, and SQL for distributed data processing and transformation
- 03Experience designing data models and architectures such as medallion architecture, data lakes, or lakehouse systems
- 04Proficiency in Python or similar programming languages for data engineering and ETL development
- 05Experience integrating data from multiple enterprise systems (e.g., SaaS tools, financial systems, identity systems)
- 06Strong understanding of data quality, data governance, and entity resolution techniques across heterogeneous datasets
- 07Excellent collaboration and communication skills, with experience working cross-functionally with technical and non-technical stakeholders