Bright Tier Solutions is seeking a highly experienced Senior Test Engineer to lead and execute quality assurance efforts for large-scale data platform migration and cloud analytics projects. This role plays a key part in ensuring data integrity, performance, and reliability during migrations from legacy on-premises systems to modern cloud data platforms.
As a Senior Tester, you will be responsible for planning, executing, and improving test strategies for end-to-end data flows, including ETL validation, schema transformation, performance benchmarks, and automation. This is an exciting opportunity to work on complex data ecosystems across industries.
Lead test execution for end-to-end data migration, ETL, and data transformation processes during SIT.
Provide support for UAT, Parallel Runs, and Production deployments.
Validate data accuracy, schema mapping, and consistency across source and target systems.
Execute performance and regression testing to verify platform scalability and migration stability.
Build and maintain automation test scripts where applicable.
Collaborate with cross-functional teams, including developers, data engineers, and cloud architects, to resolve issues and optimize system performance.
Align testing goals with business and project stakeholders.
Provide timely updates on testing progress, defect reports, and risk assessments.
Continuously drive improvements in testing frameworks, tools, and methodologies.
10+ years of experience in software testing, including 3+ years in data migration projects.
Proven expertise in cloud data platforms such as Databricks, BigQuery, Snowflake, Synapse, or Redshift.
Familiarity with legacy platforms like Hadoop, Teradata, and SAP BW.
Strong hands-on experience with ETL validation, data reconciliation, and performance benchmarking.
Proficiency in SQL, Python, and other scripting languages for test automation and data validation.
Experience with tools like Selenium, PyTest, JMeter, and data quality tools.
Excellent communication, analytical thinking, and stakeholder management skills.
Certifications in cloud platforms (e.g., AWS, Azure, GCP) or testing standards (e.g., ISTQB).
Familiarity with Agile methodologies, JIRA, Confluence, and CI/CD pipelines.
Understanding of DataOps practices and modern testing workflows.
Work on cutting-edge technologies and cloud-native data solutions.
Be part of transformational data projects across industries.
Collaborate in a flexible, remote-first environment that values innovation and continuous learning.
Strong opportunity for career growth in the cloud data and analytics space.
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