Sr. Software Development Engineer in Test- Data Quality

● 5+yearsofexperience in automation, acceptance & integration tests.

● Experience in building custom automation frameworks in Python, Java, JavaScript for automated testing and data validation

● Handsonexperience on any test case management tool.

● Handsonexperience in integration and database testing.

● Experience with cloud platforms (AWS, Azure, GCP) and cloud data services (S3, Athena, Redshift, Big Query, Snowflake).

● Hands-onexperience with ETL tools, data pipelines and data formats (e.g. AWS data warehouse solutions incl. Glue and Apache Parquet)

● Experience with data quality tools (e.g., Talend Data Quality, Informatica Data Quality) is an advantage.

● Goodtohaveexperience with Power BI or similar business intelligence software

● Goodtohaveexperience on JMeter or any relevant performance testing tools.

● ExposuretoLinux commands and Docker or Kubernetes

● Deephands-ontechnical expertise in all QA practices and processes 

● Exposuretoresearch automation systems/applications will be a plus.

● Knowledgeofdatagovernance and compliance standards (e.g., GDPR, CCPA, HIPAA) to ensure data integrity and security will be a plus.

● Strongproblem-solving skills, demonstrating creativity and efficiency in addressing data challenges.

● Stronganalytical skills and a keen eye for detail to ensure data quality and accuracy.

● Ability to document and communicate data issues, test results, and recommendations clearly to both technical and non-technical stakeholders.

● Experience with GIT, bitbucket, Github and the Gitflow branching model.

● Experience adhering to an Agile development environment and iterative sprint cycle.

● Experience in Continuous Integration/Continuous Development environments, preferably Jenkins or Github Actions

● Efficient in working on different OS– Windows, Linux & Mac.

● Monotypeisexpanding globally. Proficiency in one or more of the following languages is desirable (not mandatory) for this role: German, Japanese, French, Spanish.

 ● DataValidation: Perform validation across all stages of data pipelines (ETL) to ensure data accuracy, completeness, and consistency.

● AutomatedTesting: Develop and maintain automated test scripts for data pipelines, migrations, and reports using testing frameworks and scripting languages.

● ETLProcess Validation: Validate ETL processes, ensuring accurate data extraction, transformation, and loading across systems, maintaining data integrity.

● DataQuality Monitoring: Identify and track data quality issues, generate data quality reports, and collaborate with stakeholders to resolve inconsistencies.

● Functional and Performance Testing: Conduct functional testing of data systems and non-functional testing to ensure scalability and system efficiency.

● SQLandMongoExpertise: Write complex queries for data validation and testing in SQL and MongoDB.

● Collaboration: Work closely with data engineers, developers, and data scientists to understand data models, pipelines, and transformations, designing effective test cases.

● Documentation: Prepare comprehensive documentation, including test strategies, plans, results, and findings, for both technical and non-technical stakeholders.

● ProcessImprovement: Recommend improvements to data testing methodologies, automation workflows, and QA practices to enhance overall data quality. 

● Continuous Learning: Stay updated with the latest industry trends, technologies, and best practices in data testing and quality assurance.

● TeamCollaboration: Work effectively in a multidisciplinary environment with developers, designers, product managers, and QA testers

As a Sr. Software Development Engineer in Test- Data Quality you will be part of the Data Engineering team responsible for automating and testing complex and critical data pipelines of various projects and services that handle data for core business processes at Monotype with the best engineering practices. In this role, you will create and own QA processes end to end with focus on automation and performance.