Data Test Automation Engineer (Selenium & ETL/Big Data Testing)
Data Test Automation Engineer (Selenium & ETL/Big Data Testing)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Summary
Synechron seeks a meticulous and experienced Data Test Automation Engineer to enhance our data validation and automation efforts. The role is pivotal in verifying data quality ensuring system integrity and automating testing within complex data pipelines including ETL and Big Data environments. The ideal candidate will bring expertise in Selenium automation frameworks and hands-on experience with large-scale data systems contributing to the reliability and scalability of our data analytics initiatives.
This role enables data-driven decision-making and supports our advanced analytics and digital transformation objectives by ensuring high standards of data accuracy and system performance.
Software Requirements
Required:
- Selenium WebDriver (Java/Python bindings) mandatory for automation scripting
- SQL and data querying tools (Oracle SQL Server etc.) for validation and verification
- ETL tools (preferably Informatica Talend or equivalent)
- Big Data frameworks (Hadoop Spark or similar) basic understanding needed
- Data validation and testing tools (e.g. data compare tools custom scripts)
Preferred:
- Scripting languages: Python and Java for automation and scripting tasks
- Data warehousing tools such as Snowflake Redshift or similar
- Automation frameworks (e.g. TestNG JUnit)
- Cloud platforms (AWS Azure) knowledge to support data processing environments
Overall Responsibilities
- Design and execute comprehensive test plans for data validation within ETL workflows and Big Data architectures
- Develop maintain and execute automated test scripts using Selenium to verify data integrity across multiple systems
- Validate data accuracy completeness and consistency across sources staging and target systems
- Collaborate with data engineers and developers to understand data workflows identify testing needs and address quality issues
- Document defects track resolution and communicate findings clearly to technical and non-technical stakeholders
- Perform performance testing on data pipelines to evaluate scalability and efficiency under load
- Maintain detailed testing documentation including test cases scripts defect logs and reports
- Continuously improve testing processes by integrating best practices for automation data governance and compliance standards
Technical Skills (By Category)
Programming Languages:
- Required: Java Python (both essential for automation scripting and data validation)
- Preferred: Shell scripting Scala (useful for Big Data environments)
Databases/Data Management:
- Required: SQL proficiency for data validation tasks (querying data comparison)
- Preferred: Experience with data warehousing and Data Lake architectures (e.g. Hadoop Snowflake)
Cloud Technologies:
- Preferred: Familiarity with cloud platforms supporting data pipelines (AWS Azure)
Frameworks and Libraries:
- Required: Selenium WebDriver TestNG/JUnit for automation
- Preferred: Pytest pandas for data processing and validation scripts
Development Tools and Methodologies:
- Required: Version control (Git) Agile/Scrum workflows
- Preferred: Continuous Integration tools (Jenkins)
Security Protocols:
- Not specific but must understand data security and governance standards relevant to testing environments
Experience Requirements
- Minimum 3-5 years of experience in data testing especially within ETL and Big Data environments
- Proven expertise in testing data workflows validating large datasets and automating test cases using Selenium
- Solid understanding of data warehousing concepts and architecture (data lakes marts warehouses)
- Prior experience in scripting and automation using Java and Python
- Familiarity with cloud-based data platforms and tools is a plus
- Experience with data governance compliance standards and performance testing of data pipelines
Day-to-Day Activities
- Analyze project requirements and develop detailed test plans for data workflows
- Build and execute automated test scripts for data validation using Selenium
- Collaborate with data engineers to understand ETL and data pipeline architectures
- Conduct functional regression and performance testing of data pipelines
- Log defects perform root cause analysis and coordinate with the team for resolution
- Review test results prepare status reports and suggest improvements
- Support continuous integration and deployment pipelines to streamline data testing processes
- Stay updated on emerging data testing tools and industry best practices
Qualifications
- Educational Background: Bachelors or higher degree in Computer Science Information Technology or related disciplines; equivalent industry experience acceptable
- Certifications: Relevant certifications in Data Testing Big Data or automation frameworks (preferred)
- Training in data governance security and compliance standards is advantageous
- Commitment to continuous professional development in data technologies and testing methodologies
Professional Competencies
- Strong analytical and critical thinking skills for complex data validation
- Effective communication skills for engaging with cross-functional teams and stakeholders
- Ability to prioritize tasks and manage time efficiently in a fast-paced environment
- Team collaboration skills and adaptability to evolving project requirements
- Continuous learning mindset focused on emerging data tools and best practices
- Problem-solving orientation with attention to detail to identify and resolve data inconsistencies
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Employment Type
Full-Time
