Big Data QA Test Engineer (GCP BigQuery)
Job Location:
Monthly Salary:
Experience Required:
Posted on:
4 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Big Data QA Engineer (GCP BigQuery)
Work Model: Hybrid (3 Days in Office)
Experience Required: 10 Years
Skills
- Digital: Google Data Engineering
- Data Migration Testing
Role Description
We are looking for a motivated Big Data QA Engineer with a passion for P&C Insurance.
Key Responsibilities
- Assist in various data testing projects in a Big Data environment.
- Work closely with teams to build test strategies aligned with design specifications standards and user requirements.
- Perform testing in an iterative Agile process.
- Write and execute queries in GCP BigQuery.
- Perform ETL and database testing including data migration and report validation.
- Analyze data and validate accuracy across multiple systems.
- Write review and optimize complex SQL queries.
- Design and execute test cases in a Big Data environment.
Essential Skills
- Experience in Big Data testing and data validation.
- Strong knowledge of GCP BigQuery.
- Expertise in ETL testing database testing data migration and report validation.
- Advanced SQL skills with the ability to write and understand complex queries.
- Experience designing and executing test cases in Big Data environments.
- Experience working in Agile methodologies.
Keywords
- Big Data QE
- GCP BigQuery
- SQL
- ETL Testing
- Data Migration
- Report Validation
- P&C Insurance
- Agile
Required Skills:
60-70
Required Education:
Job Overview:Were seeking an experienced ETL Pipeline Developer proficient in Python to design implement and maintain robust data pipelines. This role is critical for transforming raw data into valuable business insights across our Responsibilities: Architect and build efficient ETL pipelines in Python to process diverse data sources Implement data transformation logic using pandas for complex manipulations and aggregations Document pipeline architecture data flows
