Job Opportunity on Sr. Data Quality Engineer // Remote // Direct Client

Hello,

This is Brineev Benny Thomas from GBIT. Hope you are doing good.

Kindly go through the below JD and please let me know if you have any candidates

Role: Senior Data Quality Engineer
Direct Client

Experience: 10+
Location: 100% Remote

Long term Contract

Skills: Automation, Python, Panda, Data Bricks and PySpark is mandatory experience

Only H1B Candidate and Passport no is Must

ESSENTIAL DUTIES, RESPONSIBILITIES & OUTCOMES

Support design, build and implement automated test framework and tools to automate the Data platform services and applications.
Develop and implement testing practices and tools as part of the framework which ensure releases are defect-free and perform at or better than expected levels
Learn the Worldwide Express business and ensure the Quality Assurance team understands business requirements at a detailed level
Provide technical directions, mentor quality assurance team as well as the scrum teams on effective testing practices, including test driven development
Use SQL queries and analyze log files to test various ETL and data pipelines
Develop data quality testing plans and scripts. Perform data validity, accuracy and integrity test across different components of the Data platform.
Automate the regression testing and ensure quality practices are built into the SDLC and DevOps practices
Ensure that business requirements are fully met before each release; certify releases for quality and completeness of functionality
Closely collaborate with other technology and business users to ensure business and technical requirements are understood and met

Minimum Qualifications:

Bachelor’s Degree, Computer Science, Engineering or related is requirement
10+ years of work experience in QA, preferably in data science or relevant space
10+ yrs applied experience writing complex SQL / Spark SQL on large data sets to transform data, facilitate accurate and reliable data analytics across various functions.
Strong coding abilities in Python, PySpark, Pandas or other similar tools for large scale data processing, data quality checks, validations and analysis.
Advanced proficiency in SQL and familiarity with other relational data via Oracle, Postgres, and/or SQL Server
Proficiency with industry recognized ETL/ELT testing methodologies, techniques, processes and standards
Hands-on experience with Databricks in AWS environment
Experience in automation of data pipelines, data services, cloud data warehouses, business intelligence, and machine learning platforms
Experience in developing Databricks notebook to test data quality and business requirements
Passionate and highly skilled in utilizing programming languages and analytics tools/technologies to validate products, machine learning models, data pipelines, and data deliverables

KNOWLEDGE OF

Understanding of the industry, specific WWEX business model, and unique characteristics of the Company.
Detailed understanding of Quality Assurance tools, practices and success measures. Known to others for knowledge and leadership in this area.
Agile development methodologies.
Common business practices and software product design and development.
Building collaborative relationships.