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Software Engineer (Data Access & Classification)
Indeed
Full-time
Onsite
No experience limit
No degree limit
Isabel La Católica 5, Centro Histórico de la Cdad. de México, Centro, Cuauhtémoc, 06000 Ciudad de México, CDMX, Mexico
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Description

Summary: Seeking a Software Engineer to support Data Access & Classification, focusing on maintenance, operational support, data classification, and reporting for critical infrastructure. Highlights: 1. Support critical data access and classification infrastructure 2. Contribute to data classification and governance rule refinement 3. Enhance reporting and visibility into classification outcomes **Company Description** We are seeking a Software Engineer (Data Access \& Classification) to support our enterprise client's Data Access and Classification team, which builds and maintains critical infrastructure for classifying and controlling access to company datasets. Due to a recent priority shift focused on integrating external recruitment companies’ data into the Indeed ecosystem, the team is experiencing increased operational load that conflicts with existing OKRs. **This is a contract role, and is available for talent based in Latin America only. It will require CST time zone support.** **Job Description** Key Responsibilities: **Maintenance \& Operational Support** * Offset increasing maintenance workload to support ongoing OKR commitments * Provide ongoing support and maintenance for legacy classification systems * dentify and improve performance issues within the classification service and its underlying SQL databases **Data Classification \& Governance** * Help the Data Governance team iterate on and refine classification rules * Build and modify classification rules using regex * Develop and maintain test infrastructure to ensure quality and consistency of rule evaluations **Reporting \& Visibility** * Assist in building reports from Snowflake data exports * Provide visibility into classification results across Gmail, Google Drive, and S3 * Use reporting tools and frameworks to analyze large datasets and surface insights **Qualifications** **Must\-Have Skills** * Strong proficiency in Java (primary language; most systems are Java) * Working proficiency in Python (used for tooling and supporting workflows) * Basic to solid understanding of backend service development * Experience working with AI\-assisted development tools * Ability to understand and apply regex for rule\-based systems **Preferred / Additional Skills** * Expertise in statistics and sampling techniques * Experience building test frameworks or quality validation infrastructure * Familiarity with large\-scale data reporting and analysis tools **Required Platforms \& Tools** * Java 17\+ development experience * Spark development skills * Familiarity with ArgoCD, S3, and Kubernetes * Strong SQL / Presto query skills * Experience with Tableau or similar reporting tools **Nice\-to\-Have Skills** * Experience with data classification systems (agentic or non\-agentic) * Front\-end development experience (full\-stack background is a plus, not required) * Rust development experience * Scala development experience **What Success Looks Like** * Maintenance workload is effectively absorbed, allowing the core team to stay focused on OKRs * Classification rules are accurate, well\-tested, and easier to iterate on * Reporting provides clear visibility into classification outcomes across platforms * Legacy systems remain stable, performant, and well\-supported

Source:  indeed View original post
Juan García
Indeed · HR

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