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Salesforce Partner, Microsoft Partner, ServiceNow Partner, ISO/IEC 27001 Certified
Quality Engineer
Location
India
Posted
94 days ago
Salary
0
Seniority
Senior
Job Description
Quality Engineer
Jeevan Technologies (a Nobl Q company)
• Design, develop, and execute data quality test cases to validate data pipelines and ETL/ELT processes • Monitor and trigger data pipelines, ensuring smooth execution and timely data delivery • Run and maintain data quality scripts to identify anomalies, inconsistencies, and data integrity issues • Perform data profiling and validation across multiple data sources and targets • Collaborate with data engineers to implement data quality checks at various stages of the pipeline • Perform root cause analysis (RCA) for data anomalies and pipeline failures • Troubleshoot pipeline failures and data quality issues, working to resolve them efficiently • Document data quality standards, testing procedures, and validation results • Generate data quality reports and communicate findings with engineering teams • Develop automated testing frameworks to improve data quality validation efficiency • Focus primarily on validating and assuring quality of existing pipelines (not building full pipelines)
Job Requirements
- Strong understanding of data engineering concepts including ETL/ELT processes, data warehousing, and data modeling
- Proficiency in SQL for complex data validation and querying
- Experience with scripting languages such as Python or Shell scripting for automation
- Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, Azure Data Factory, AWS Glue)
- Knowledge of data quality frameworks and tools (we can ask Deloitte to specify)
- Familiarity with cloud platforms (AWS, Azure, or GCP) and their data services
- Understanding of data formats (JSON, Parquet, Avro, CSV) and data storage systems
- Exposure to logging/monitoring tools (specify tool names - we can check Deloitte on this) is a plus
- Experience with big data technologies (Spark, Hadoop, Kafka)
- Knowledge of CI/CD practices for data pipelines
- Familiarity with version control systems (Git)
- Understanding of data governance and compliance requirements
- Experience with data visualization tools for quality reporting
Benefits
- Health insurance
- Professional development opportunities
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