Big Data QE Engineer


Job Location:

Kitchener - Canada

Monthly Salary: K 10 - 10
Experience Required: 5years
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Big Data QE Engineer

Kitchener ON
Work Model: Hybrid (2 days in office)

Experience Required: 68 Years

Role Description

We are seeking a motivated Big Data QA Engineer / Data Tester with experience in data testing and a passion for the Property & Casualty (P&C) Insurance domain. The ideal candidate will be responsible for supporting data testing initiatives validating data quality and ensuring solutions meet design specifications standards and business requirements within an Agile environment.

Key Responsibilities

Develop and execute test strategies aligned with design specifications standards and user requirements.
Perform ETL and database testing data migration testing and report validation.
Write and execute complex SQL queries for data analysis and validation.
Execute and validate queries in GCP BigQuery.
Design and execute test cases in a Big Data environment.
Analyze data and validate data quality across various data sources.
Collaborate with Agile teams to test components iteratively throughout the development lifecycle.

Required Skills

68 years of experience in ETL Testing SQL Big Data and Python.
Hands-on experience with:
ETL and Database Testing
Data Migration Testing
Report Validation
Strong knowledge of GCP BigQuery.
Experience with PySpark and/or Python.
Expert-level SQL skills including writing and understanding complex queries.
Advanced knowledge of Big Data technologies including:
Hadoop
Hive
Impala
HBase
Pentaho
Experience working in Agile project environments.

Preferred Skills

Exposure to the Property & Casualty (P&C) Insurance domain specifically Property and Auto Insurance.
Knowledge of Guidewire.


Required Skills:

Top 3 Required Skills: 1. IBM Financial transaction 2. Payment flow 3. Support Modernization Detailed Job Description: Design develop and maintain applications built on IBM Financial Transaction Manager (FTM) to support core payments processing. Contribute to the development of payment flows supporting transaction processing. Build and support integrations between FTM and upstream/downstream systems using enterprise integration patterns. Participate in the design development testing deployment and production support. Troubleshoot and resolve application and integration issues in a complex regulated environment. Collaborate with architecture QA and operations teams to ensure platform stability scalability and performance. Support modernization initiatives and enhancements to existing payment hub capabilities. Produce clear technical documentation and participate in code reviews and knowledge sharing.

Big Data QE EngineerKitchener ONWork Model: Hybrid (2 days in office)Experience Required: 68 YearsRole DescriptionWe are seeking a motivated Big Data QA Engineer / Data Tester with experience in data testing and a passion for the Property & Casualty (P&C) Insurance domain. The ideal candidate will b...