Key Responsibilities:
- 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 rapid-paced, Agile environments, delivering under tight deadlines.

📌 Senior Quality Engineer (India)
🏢 e6data
📍 India