Senior Data Quality Automation Engineer

Data Quality Engineering, SQL, DB/ETL Test Automation, DWH & DB Concepts

Bangalore, Chennai, Hyderabad, Pune, Gurgaon

We are in search for a Senior Data Quality Automation Engineer to join our team

In this role, you will contribute to developing test scripts, enhancing automated testing frameworks, and collaborating closely with development teams.

You will join a dedicated, creative and diverse community to help you discover your fullest potential.

Responsibilities

Defining quality standards and metrics for the current project/product.
Defining Testing Strategies
Defining processes for test plan and several phases of testing cycle
Understanding and defining areas to calculate the overall risk to the project
Challenge yourself continuously to move towards automation for all daily works and help others in the automation.
Keep raising the bar and standards of all the quality processes with every project
Creating strategies to mitigate those risks and take necessary measures to control the risks
Communicating or creating awareness to all the stake holders for the various risks Understand & review the current risks and escalate
Review test strategies and see that all the various kinds of testing like unit, functional, performance, stress, acceptance etc. are getting covered.
Working with all stakeholders to ensure that the quality metrics is reviewed, closed and agreed upon
Work with the development team to ensure that the quality engineers get apt support like automation hooks or debug builds where ever and whenever possible

Requirements

At least 5-8 years of strong experience in QA/testing or application development
Expertise in Database and ETL testing
Strong skills of Essential technologies: SQL scripting, PL/SQL
Expertise in writing complex and automated SQL scripts
ETL Testing from various feeds on server (S3, SQL ,HIVE, Data Bricks, Snow Flake) using different testing strategy to ensure the data quality and data consistency, timeliness
Proficiency with preparing the test plan and ensure that test plans get reviewed by all stakeholders and strong in peer reviews.
Hadoop & Big Data Concepts and Data validation on HIVE tables skills
Strong command of any Programmatic Language (Python /Java preferred)
Proficiency API Testing
Experience in automation, automation frameworks and automation delivery preferred
Knowledge of software development lifecycle (SDLC) methodologies like Agile, QA methodologies, defect management system, and documentation.
Skill with identifying and defining areas to calculate the overall risk to the project and Creating strategies to mitigate those risks and escalate as necessary
Ability to set Quality standards in various new testing technologies in the industry
Upper-Intermediate English level proficiency

Nice to have

Experience with large-scale data processing languages like Pyspark