Job Description

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Overview

Apply best practices for data quality & triaging - ( with goal to reduce data downtimes) on existing and new pipelines for our business, customer and Data Science team

Responsibilities

Own data quality from existing data pipelines, development end-to-end quality framework spanning outages, freshness, accuracy and issue reporting Define best practices for quality development, engineering, and coding as part of a world class engineering team in PepsiCo. Work with the product team leveraging our core technology platforms, which include Direct Commerce, Supply Chain, Marketing Automation, Mobile, and Data. Collaborate in architecture discussions and architectural decision making that is part of continually improving and expanding these platforms. Lead framework development in collaboration with other engineers; validate requirements / stories, assess current capabilities, and decompose manual quality related tasks , engineering tasks Focus on delivering high quality data pipelines and tools through careful analysis of system capabilities and feature requests, peer reviews, test automation, and collaboration with QA engineers Develop software and partner with software teams like MonteCarlo / Great Expectations / Sentry in short iterations to quickly add business value Introduce new tools / practices to improve data and code quality; this includes researching / sourcing 3rd party tools and libraries, as well as developing tools in-house to improve workflow and quality for all data engineers and operations teams members

Qualifications

7+ years of experience in designing and building systems for collecting, storing, and analysing data at scale Required skills: Python, SQL,Airflow, AWS, Azure Prior experience with data quality frameworks and tools is a plus Strong interpersonal skills to effectively interact with client/onshore personnel to understand specific Enterprise Information Management requirement and develop solutions based on those requirement Experience in Retail,, Digital Commerce or Financial Services domain is preferred. Master's or Bachelor's degree in computer engineering or related analytics field from a premier/Tier1 institute of India Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required Hands on experience of handling large data sets and use of python /SQL for data analysis Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work. Outstanding written and verbal communication skills * Deep understanding of database design and engineering