Qualifications

• 5-7 years of experience in Quality Engineering, particularly in automation frameworks.
• Proficient in Unix/Linux environments with strong shell scripting abilities using Bash, Kornshell, or Perl.
• Expertise in SQL querying techniques, specifically with complex joins.
• Experience in designing and developing ETL pipelines using Apache Spark.
• Knowledge of Data validation frameworks for handling large financial datasets.
• Experience managing data workflows using Apache Airflow.
• Hands-on experience with automation framework design for ETL and API testing.

Responsibilities

• Develop and implement automation frameworks for extensive testing processes.
• Conduct manual testing to support automation efforts until completion.
• Design scalable ETL pipelines to process financial data using Apache Spark.
• Use shell scripting for file processing and command-line tasks.
• Create and implement comprehensive data validation frameworks.
• Manage complex data workflows and task dependencies in Apache Airflow.
• Perform data quality checks and monitoring to ensure accuracy in dataset delivery.

Benefits

• Opportunity to work on cutting-edge data processing technologies.
• Engage in meaningful projects that impact financial data integrity.
• Collaborative team environment focused on quality and testing innovation.
• Professional growth through exposure to diverse automation frameworks and tools.