Senior Quality Engineer
Lead quality assurance for data-driven solutions, validating data and ETL pipelines.
Develop and execute test strategies for ETL processes, data transformations, and integrations.
Define data quality requirements and translate them into testing strategies.
Drive test automation for ETL processes.
Collaborate to identify and resolve data quality issues.
Optimize data validation procedures.
Document test results and communicate findings.
Stay current on data technologies and best practices
Requirements
Skills and Attributes for Success:
Understanding of data validation, ETL processes, and data architecture.
SQL proficiency for data validation and transformation testing.
Experience with data integration, warehousing, and cloud-based data platforms.
Expertise in ETL tools (Informatica, Talend, SSIS, Apache Nifi).
Ability to design and execute automated testing for data accuracy.
Strong problem-solving and analytical skills.
Effective communication and collaboration.
Technical Skills:
Proficiency in Python, SQL, or Java.
Extensive ETL tool experience.
Experience with cloud platforms (AWS, Azure, Google Cloud).
Expertise in data warehousing technologies.
Knowledge of relational and NoSQL databases.
Experience with big data tools (Hadoop, Spark, Kafka).
Familiarity with version control (Git) and CI/CD pipelines.
Expertise in data validation, quality assurance, and data profiling.
To Qualify for the Role, You Must Have:
2+ years in Quality Assurance, focusing on data and ETL testing.
Proven expertise in complex data validation tests for large-scale systems.
Experience in fast-paced, Agile environments, delivering under tight deadlines.