QA Engineer

4 weeks ago

Bengaluru, Karnataka, India Jobs via eFinancialCareers Full time
Job Description

JOB DESCRIPTION Job Title - QA Analyst

Entity - MA

Line of Business/Department -

Location - Bangalore, India

Full Time / Part Time - Full-time

Skills And Competencies

- Experience validating data transformations across modern data pipelines (Kafka, Databricks, MongoDB, REST APIs)
- Strong analytical skills with the ability to identify anomalies and transformation issues in large datasets
- Proficiency in designing and executing validation strategies for data accuracy, completeness, and consistency
- Experience building and maintaining reusable test datasets for QA use cases
- Ability to collaborate with cross-functional teams including developers, analysts, and product stakeholders
- Familiarity with scripting, dashboards, or alerts for proactive data quality monitoring

Education

[Graduation/PG in Technical or similar and related fields..]

Responsibilities

Ensure the integrity, accuracy, and reliability of data flowing through the data pipeline.

- Validate data transformations across the pipeline-from Kafka event streams to processed data in Databricks and MongoDB, through APIs and UI
- Design and execute validation strategies that ensure data accuracy, completeness, and consistency
- Analyze large datasets to identify anomalies, data mismatches, and transformation issues
- Build, curate, and maintain test datasets to support multiple QA use cases and test environments
- Collaborate with developers and QA engineers to design test cases, validation rules, and data mapping documentation
- Develop scripts, dashboards, or alerts to proactively monitor data quality
- Participate in code reviews and provide input on schema design, transformation logic, and reliability strategies
- Document validation plans, data exception reports, and reliability metrics

About The Team

Our Software Quality Assurance (QA) team is responsible for ensuring the quality and reliability of data across Moody&aposs data pipeline.

We validate data transformations and maintain test datasets to support business-critical decisions and product experiences.

By joining our team, you will be part of exciting work in data validation, quality assurance, and cross-functional collaboration.

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