AI-Driven Data Quality Analyst (Healthcare)

P\\S\\L Group; México; On-site; MXN 420,000 - 720,000; Full time

Job summary

P\S\L Group is seeking a Data Quality Engineer to own data quality monitoring, investigations and pre‑deployment testing. You'll design automated checks, set baselines, and report trends to cross‑functional teams.

Ideal candidates have 3+ years in data quality or analytics engineering, strong SQL, and hands‑on experience with data monitoring tools (dbt, Great Expectations, Soda). Spanish is a plus and comfortable working across time zones.

Qualifications

• 3+ years in data quality, data analysis, data QA or analytics engineering.
• Strong SQL: comfortable comparing large datasets, writing reconciliation queries and profiling data.
• Hands-on experience setting up data monitoring or alerting (dbt tests, Great Expectations, Soda, or custom SQL/Python checks).
• Hands-on experience with AI coding tools like Claude code, OpenAI Codex CLI, Antigravity CLI, or similar.
• Ability to articulate and write requirements for automations, query schedules, and data quality alerts.
• Experience testing data around software releases, ideally working alongside application developers.
• Methodical root‑cause analysis and clear written documentation.
• Strong attention to detail
• Confident coordinating with people across teams and time zones without direct authority.
• Professional working proficiency in English, written and spoken; Spanish an asset.
• Able to work with significant overlap with Eastern Time (Toronto).

Responsibilities

• Own data quality monitoring (about 40%).
• Triage each alert or reported issue; size impact and set priority.
• Pre‑deployment Data Acceptance Testing (about 30%).
• Collaborate on datasets affected by releases and run data comparisons.
• Turn repeat checks into reusable automated test suites over time.
• Feed lessons from incidents into release checklists and change‑request reviews.

Skills

SQL

Data QA

Data monitoring

AI tools

Documentation

Communication

English

Time zone coordination

Tools

dbt tests

Great Expectations

Soda

Confluence

Jira

Zoho CRM

Job description

P\S\L Group is seeking a Data Quality Engineer to own data quality monitoring, investigations and pre‑deployment testing. You'll design automated checks, set baselines, and report trends to cross‑functional teams.

Ideal candidates have 3+ years in data quality or analytics engineering, strong SQL, and hands‑on experience with data monitoring tools (dbt, Great Expectations, Soda). Spanish is a plus and comfortable working across time zones.