Test Data Management Engineer

 Posted 2 days ago
  
 Mexico
  
2-5 years experience
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AI Summary

Design and develop comprehensive Test Data Management solutions, including data masking, subsetting, and synthetic data generation. Collaborate with QA, Development, and DevOps teams to automate API and UI workflows while ensuring data quality and governance.

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Test Data Management Engineer:

Responsibilities

  • Design and develop Test Data Management (TDM) solutions for enterprise applications.
  • Develop self-service test data provisioning utilities using Java, Groovy, or Python.
  • Implement data discovery, masking, subsetting, synthetic data generation, and data validation processes.
  • Support test data requests, refresh activities, and test data governance.
  • Develop SQL queries and API validations to ensure data quality and accuracy.
  • Create and maintain Gold Copy databases and data provisioning frameworks.
  • Collaborate with QA, Development, and DevOps teams to enable efficient testing.
  • Execute Mainframe JCL batch job create extracts and push it to Managed File Transfer (MFT).
  • Automate API or UI workflows to conditioning test data per requirements.

Requirements

  • 4+ years of experience in Test Data Management, Data Provisioning, Mainframe JCL, ETL, and Test Data Automation.
  • Strong hands-on experience with GenRocket (or Informatica TDM / similar TDM tools).
  • Strong programming skills in Core Java, Groovy, or Python.
  • Proven expertise in SQL, ETL, RDBMS, and Cloud Data Sources.
  • Experience with Data Masking & Synthetic Data Generation processes.
  • Working knowledge of REST APIs.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired 

  • Knowledge in integration patterns such as Apache Camel and Kafka is preferred.
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English.
  • Advanced Spanish.

Note:

  • Fully remote.


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Requirements

  • 4+ years of experience in Test Data Management, Data Provisioning, Mainframe JCL, ETL, and Test Data Automation.
  • Strong hands-on experience with GenRocket (or Informatica TDM / similar TDM tools).
  • Strong programming skills in Core Java, Groovy, or Python.
  • Proven expertise in SQL, ETL, RDBMS, and Cloud Data Sources.
  • Experience with Data Masking & Synthetic Data Generation processes.
  • Working knowledge of REST APIs.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."


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