Job Summary

Experience – 10+ years of experience Must have Skills: Databricks, Python, Data masking Good to have Skills: IICS, Informatica TDM :

- Configure and maintain Data masking projects on Databricks • Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems.
- Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage.
- Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications.
- Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams.
- Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow.
- Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts).
- Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications.
- Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations.
- Design and build data pipelines using Python to provision test datasets from enterprise sources.

Key Responsibilities

Experience – 10+ years of experience Must have Skills: Databricks, Python, Data masking Good to have Skills: IICS, Informatica TDM :

- Configure and maintain Data masking projects on Databricks • Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems.
- Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage.
- Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications.




- Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams.
- Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow.
- Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts).
- Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications.
- Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations.
- Design and build data pipelines using Python to provision test datasets from enterprise sources.

Skill Requirements

Experience – 10+ years of experience Must have Skills: Databricks, Python, Data masking Positive to have Skills: IICS, Informatica TDM :

- Configure and maintain Data masking projects on Databricks • Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems.
- Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage.
- Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications.
- Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams.
- Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow.




- Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts).
- Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications.
- Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations.
- Design and build data pipelines using Python to provision test datasets from enterprise sources.

Must Have Skill

Data security and compliance,Pre-sales,Product Life-Cycle Management

Good to Have Skill

Other Requirements

Experience – 10+ years of experience Must have Skills: Databricks, Python, Data masking Good to have Skills: IICS, Informatica TDM :

- Configure and maintain Data masking projects on Databricks • Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems.
- Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage.
- Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications.
- Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams.
- Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow.
- Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts).
- Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications.
- Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations.
- Design and build data pipelines using Python to provision test datasets from enterprise sources.

📌 SME - Data security and compliance,Presales (Vijayawada)
🏢 HCLTech
📍 Vijayawada