Quality Engineer

As a Quality Engineer - Data, you will be involved in every phase of SDLC and focus on Functional testability, Automation and Performance of the software. More specifically, you will work on:

Selecting and integrating Data tools and frameworks required to provide requested capabilities.

Technical guidance for software engineers engaged in the design, coding, reviewing, and testing of enterprise software Collaborate with Data Scientists, Data Engineers, and Software Engineers to understand data and models to develop QA tests to validate.

Implementing ETL testing process.

EXPERTISE AND QUALIFICATIONS

Review Data Models, Data Mappings, and Architectural Documentation to create/execute effective SIT Test suit

Ability to transform complex Business logic into SQL or PL/SQL queries

Validates data by running queries in the database and verifying that the results match the expectations

Experience with integration of data from multiple data sources

Good understanding of Big Data & Cloud concepts

Knowledge of database and data warehouse concepts, such as star schemas, snowflakes, dimensions, and facts

Hands on experience in automation testing on data

Knowledge of programming languages E.g. Python Analysis and troubleshooting erroneous results, determining the root cause of defects, and logging defects in defect management tools, including working with the development team on the resolution of Software related defects

Works closely with the Software development team (Business Analysts, Developers & other testers) to ensure timely and effective testing effort

Strong analytical and excellent communication skills

Experience worked with either of the Cloud technology ( AWS, Azure, GCP)

Experience with BI tools like PowerBI and Tableau is a plus