Technical Lead

Tata Consultancy Services

Dallas (TX)

On-site

USD 100,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage
Family Support: Leaves
Insurance Options
Commuter Benefits
Certification & Training Reimbursement
Time Off: Vacation & Holidays
Legal & Financial Assistance

Job summary

Tata Consultancy Services seeks a Quality Assurance Lead (Contractor) to drive end-to-end testing strategy for large-scale data platforms. You will lead QA efforts across batch and streaming environments, focusing on data integrity, regulatory compliance, and system reliability.

The role requires strong Python/PySpark automation, experience with Hadoop ecosystems, and expertise in CI/CD integration with Jenkins and Git.

Qualifications

  • 8+ years of experience in Quality Assurance / Test Engineering with leadership responsibilities.
  • Strong proficiency in Python and PySpark for automation and data validation.
  • Solid experience with big data platforms (Hadoop, Hive, Impala, Sqoop).
  • Hands-on expertise in Oracle PL/SQL and relational database validation.
  • Experience with workflow schedulers such as Control-M or CA-7.
  • Strong Unix/Linux scripting experience.
  • Experience integrating QA into CI/CD pipelines using Jenkins and Git.
  • Familiarity with DevOps practices and automated pipeline testing.
  • Experience with container platforms (Docker / OpenShift).
  • Strong analytical and debugging skills, especially in data-related issues.

Responsibilities

  • Lead QA strategy, test planning, and execution across data and application platforms.
  • Design and implement automated testing frameworks using Python and PySpark for large-scale data validation.
  • Validate data pipelines in Hadoop ecosystem ensuring completeness and accuracy.
  • Develop end-to-end test scenarios for batch processing, ingestion, and transformation.
  • Perform database validation and reconciliation using Oracle PL/SQL and SQL techniques.
  • Validate ML pipelines and models with experiment tracking via MLflow.
  • Monitor and validate workflows orchestrated via Control-M/CA-7.
  • Embed quality gates into CI/CD with Jenkins and Git.
  • Drive test automation within DevOps pipelines and release processes.
  • Perform Unix-based scripting for test automation and data checks.
  • Lead defect triage and root cause analysis.
  • Ensure regulatory and audit compliance in data-sensitive environments.
  • Mentor QA engineers and promote best practices in test automation.

Skills

Python
PySpark
Hadoop
Hive
Impala
PL/SQL
Control-M
CA-7
Unix scripting
Jenkins
Git
Docker
OpenShift

Education

Bachelor of Computer Science

Tools

Jenkins
Git
Docker
OpenShift
Control-M
CA-7

Job description

Job Description

We are seeking a Quality Assurance Lead (Contractor) to drive end-to-end testing strategy and quality engineering practices for large-scale data platforms and distributed systems. This role will focus on ensuring data integrity, regulatory compliance, and system reliability, particularly within high-volume batch and streaming environments. The ideal candidate brings strong expertise in big data testing, automation frameworks, and data validation, along with experience in workflow orchestration and DevOps-driven QA processes.

Responsibilities
  • Lead and define the QA strategy, test planning, and execution across complex data and application platforms.
  • Design and implement automated testing frameworks using Python and PySpark for large-scale data validation.
  • Validate data pipelines across Hadoop ecosystem (HDFS, Hive, Impala, Sqoop) ensuring completeness, accuracy, and consistency.
  • Develop end-to-end test scenarios covering batch processing, data ingestion, transformation, and downstream consumption.
  • Perform database validation and reconciliation using Oracle PL/SQL and SQL-based techniques.
  • Validate machine learning pipelines and models, including experiment tracking via MLflow.
  • Monitor and validate workflows orchestrated through Control-M / CA-7 schedulers.
  • Collaborate with development teams to embed quality gates into CI/CD pipelines using Jenkins and Git.
  • Drive test automation within DevOps pipelines, ensuring seamless integration with build and release processes.
  • Perform Unix-based scripting for test automation, data checks, and batch validation.
  • Lead defect triage, root cause analysis, and resolution tracking.
  • Ensure adherence to regulatory and audit requirements, especially in data-sensitive environments.
  • Mentor QA engineers and promote best practices in test automation and quality engineering.
Required Skills & Experience
  • 8+ years of experience in Quality Assurance / Test Engineering, with leadership responsibilities.
  • Strong proficiency in Python and PySpark for automation and data validation.
  • Solid experience with big data platforms (Hadoop, Hive, Impala, Sqoop).
  • Hands‑on expertise in Oracle PL/SQL and relational database validation.
  • Experience with workflow schedulers such as Control‑M or CA‑7.
  • Strong Unix/Linux scripting experience.
  • Experience integrating QA into CI/CD pipelines using Jenkins and Git.
  • Familiarity with DevOps practices and automated pipeline testing.
  • Experience with container platforms (Docker / OpenShift).
  • Strong analytical and debugging skills, especially in data-related issues.
Nice‑to‑Have Skills
  • Experience with Actimize or OFSAA FCCM platforms (financial crime / AML domain).
  • Exposure to cloud platforms (AWS – Glue, Athena, S3, SageMaker).
  • Experience testing machine learning models and data science workflows.
  • Knowledge of data governance, lineage, and regulatory reporting frameworks.
Salary & Benefits

Salary range: $100,000 – $110,000 a year.

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Education

Bachelor of Computer Science.

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