Python Developer

Title: Python Developer
Location: Remote

Professional Services | Data Masking Automation

ROLE SUMMARY
Hands-on delivery engineer responsible for building the data masking automation that drives the
ISR.13 control. Works under the technical direction of the Managing Consultant, participating in
discovery sessions and owning the build and validation of the masking automation pipeline that
consumes the application data discovery report, maps sensitive columns to the appropriate
Informatica IDMC masking technique by data type, and creates and executes masking tasks
programmatically via the IDMC REST API.

KEY RESPONSIBILITIES
• Participate in data masking discovery sessions alongside the Managing Consultant and client
SMEs to confirm scope, the data discovery report format, and the canonical data-type to
masking-technique mapping
• Build the automation that ingests the application data discovery report and identifies sensitive
columns and their data types per schema
• Develop the data-type to masking-technique mapping engine that selects the appropriate
IDMC technique per column (e.g., Substitution Name, Email address, SSN, Phone) and emits
the required mask rule parameters
• Create and configure masking tasks programmatically via the IDMC REST API
(/api/v2/mttask), replacing the manual job-creation effort
• Apply repeatable (seeded) masking so values mask consistently across related tables,
preserving referential integrity
• Execute masking jobs and monitor status via the IDMC REST API, with retry and exception
handling for failed runs
• Produce the masking report per run as evidence for the CDO / SDLC release gate
• Route exception cases (e.g., unstructured data, unsupported platforms) to a documented
manual handling path
• Migrate and validate the automation from lab environments to client non-production and
production infrastructure
• Contribute to operational runbooks and knowledge transfer sessions
• Participate in agile ceremonies — stand-ups, sprint demos, and retrospectives

REQUIRED SKILLS & MINIMUM EXPERIENCE

Skill Min. Years
Python for data / integration automation 4
REST API integration (auth, sessions, rate limits, idempotency) 3
Working with structured data and databases (SQL, schemas, data types) 3
Data pipeline / ETL-style development 3
Informatica IDMC / IICS (or comparable data-integration platform) 2
Git / GitOps workflow 3
CI/CD pipeline development (GitLab CI, Jenkins, or equivalent) 2
Working knowledge of data privacy / PII handling 2
YAML / JSON data modelling 2
Linux / Bash 2

PREFERRED
• Prior data masking or test-data-management automation (Informatica, Delphix, or similar)
• Experience with the IDMC Secure Agent and dictionary-based substitution (.dic) staging
• Experience across multiple database platforms (Oracle, SQL Server, PostgreSQL, etc.)
• Experience in regulated environments (financial services, GDPR)
• Client-facing professional services delivery experience