Lead Software Quality Assurance Engineer; Hybrid

Position: Lead Software Quality Assurance Engineer (Hybrid )
At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

We are seeking a highly skilled
** QA Testing Lead (Automation)
** to drive quality and testing excellence for our growing Data Platform. As part of our Data Engineering team, you will be responsible for designing, building, and leading test automation frameworks and strategies across modern data technologies such as AWS, Snowflake, and Power

BI. You will ensure the end-to-end quality of robust data pipelines, integrations, and analytics solutions that drive key business decisions.
** Responsibilities:
**** Strategy & Leadership
*** Lead QA activities for Data Pipelines, owning end-to-end automation test strategy, planning, and execution.
* Mentor and guide QA automation engineers and ensure best practices are established and followed.
* Collaborate closely with Data Engineers, Product Managers, Dev Ops, and business stakeholders.
** Test Automation & Execution
*** Design, develop, and maintain automated QA frameworks using PyTest, Robot Framework, JUnit/TestNG, or similar tools.
* Create and execute high-coverage, maintainable automated test cases for data pipelines and ETL processes, including Apache Airflow DAGs, AWS Glue, and custom Python/SQL test harnesses.
* Develop automated test cases for cloud and warehouse services such as AWS S3, Lambda, and Snowflake Data warehouse.
* Conduct API testing using Postman, Rest Assured, and SoapUI for RESTful APIs and integrations
* Perform UI and BI testing for Power

BI dashboards and data visualizations using Selenium.
* mplement and manage data validation and data testing processes with Query Surge and dbt tests.
* Develop and maintain file-based integration tests for formats such as CSV, Parquet, and JSON.
* Implement and sustain monitoring, alerting, and notification systems using AWS Cloud Watch, SNS, Pager Duty, and Slack/email automation.
* Manage source code and automation workflows using Git, Jenkins, Git Hub Actions, or similar CI/CD tools.
* Write and maintain scripts using Python (preferred), SQL, Bash, or similar scripting languages.
** Data Quality Assurance
*** Validate ETL/ELT processes and ensure data accuracy, completeness, and consistency.
* Design and implement automated data validation checks, reconciliation routines, and anomaly detection.
* Implement continuous integration/continuous deployment (CI/CD) pipelines for test automation.
** Reporting & Improvements
*** Analyze test results, provide actionable insights, and drive root cause analysis of defects.
* Ensure effective alerting and notification mechanisms for quality issues across the platform.
* Advocate for improvements in testability, automation, and data quality controls.
*
* Qualifications:

*** Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
* 7+ years of experience in QA, with at least 3 years leading QA/testing teams (preferably in the data platform space).
* AWS Cloud (S3, Lambda, Glue)
* Snowflake, including SQL scripting and data validation
* Apache Airflow: DAG orchestration, test automation hooks
* Power

BI:
Data validation and BI automation testing
* File integration:
Automation of file ingestion and transformation tests
* APIs: RESTful API test automation (tools like Postman, Rest Assured, etc.)
* CI/CD:
Jenkins, Git Hub Actions, or similar tools
* Programming/Scripting:
Python (preferred), SQL, Bash or other scripting languages
* Experience with monitoring, alerting, and notification integration (e.g., Cloud Watch, SNS, Pager Duty, email or Slack alerts).
* Strong knowledge of QA methodologies: functional, regression, integration, performance, and UAT.
* Demonstrated ability to communicate clearly and collaborate with cross-functional teams.
* Self-driven with strong analytical, organizational, and problem-solving skills.
** Preferred Qualifications
*** Experience with Data Ops or similar data platform operational practices.
* Familiarity with data governance, security, and compliance in cloud data platforms.
* Knowledge of data test automation tools…