Jeevan Technologies (a Nobl Q company)

Quality Engineer

Jeevan Technologies (a Nobl Q company)

full-time

Posted on:

Location Type: Remote

Location: India

Visit company website

Explore more

AI Apply
Apply

About the role

  • 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)

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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data quality testingETL processesELT processesSQLPythonShell scriptingdata pipeline orchestrationdata quality frameworksbig data technologiesdata visualization
Soft Skills
collaborationtroubleshootingcommunicationdocumentationroot cause analysis