We are looking for a looking for a self-motivated Lead QA Engineer to lead the testing framework design, development, automation for cloud based big data infrastructure. This position requires experience in establishment and execution of testing frameworks pertaining to data pipelines, data services, data warehouses, business intelligence and machine learning platforms, especially around unified consumer transactional, demographic and behavioral data. You would utilize your knowledge of testing best practices, programming skills and analytics tools/technologies such as SQL/NoSQL, Python, and BI tools to validate data pipelines, data assets and visualizations. Be familiar in working in an Agile Product team leveraging Scrum and Kanban practices. The role will operate across multiple e-commerce channels and divisions for L'Oreal USA, keeping the consumer at the forefront while driving enhanced experiences and profitable E-Commerce growth. You must be self-driven and comfortable working in a product model.
Key Responsibilities
Design and implement Test Automation frameworks using Python, node.js, SQL, javascript and React JS. * Develop test strategies, plans, test cases and engineering best practices related to software test engineering, both manual and automated testing with a specific focus on data quality * Work closely with data engineers, data scientists and analysts to inform solution designs in terms of testability. * Building and automating testing frameworks around data ingestion pipelines for master data management, deep-learning, and predictive analytics * Build and maintain testing frameworks for big data environments that are highly secure, scalable, flexible, and performant using appropriate SQL technologies. * Lead data governance and data profiling efforts to ensure data quality and proper meta data documentation for data lineage. * Creating quality metrics to evaluate data pipelines, products and customer deliverables. * Collaborate with diverse technical and non-technical teams located across multiple time-zones on client deliverables and technical support * Participate-in and contribute to design and code reviews
Knowledge, Skills, and Abilities
2+ years of prior experience in building and testing solutions for Digital & E-Commerce teams
5-8+ years of experience in a QA lead and/or engineering role
Degree in Computer Science or Information Systems.
Experience using many of the following technologies:
Experience with big data tools and skills leveraging SQL, Python, Spark, Hive, etc.
Experience with public cloud services such as Google BigQuery, Amazon Redshift, Google Cloud Composer, AI Notebooks
Experience with relational SQL and NoSQL databases, such as MySQL, Postgres and Cassandra.
Strong experience in testing visualizations through traditional BI tools such as Tableau, PowerBI, Domo etc.
Nice to have - Experience with data pipeline and workflow management tools: Airflow, Oozie
Nice to have - some prior experience with predictive sciences (ML/AI) as there would be an active opportunity for this role to test ML and AI model accuracy and effectiveness
Design and implement Test Automation frameworks using Python, SQL and other Off the Shelf Tools
Employ a data quality focus and build test strategy, plas and engineering best practices related to software test engineering, both manual and automated testing with a specific focus on data quality
Work closely with Product Owner, data engineers, data scientists and analysts to inform solution designs through backlog grooming, spring planning, sizing to ensure data quality remains paramount
Building and automating testing frameworks around data ingestion pipelines for master data management, deep-learning, and predictive analytics
Support data governance and discoverability efforts to ensure data quality and proper meta data documentation for data lineage
Creating quality metrics to evaluate platform components and final data assets being produced
Strong communication and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.If you require a reasonable accommodation to complete an application for a recognized disability under applicable law, please email [emailprotected]. Please note this email will only respond to specific requests for assistance completing the application as a request for accommodation for a disability. All others will not be considered. #DDIR
