Data engineer

7 days ago

Nadiad, India NuVision Auto Glass Full time

Nu Vision Auto Glass is a leading auto glass service provider in the USA, serving customers across Arizona, Florida, South Carolina, and Colorado. Known for delivering reliable mobile windshield replacement and expert auto glass services, ensuring convenience and safety at every step.With seamless insurance claims, easy financing options for cash payments, and advanced ADAS calibration through a partnership with ADAS360, Nu Vision Auto Glass guarantees exceptional service. A strong reputation and growing presence in multiple regions reflect its commitment to quality and customer satisfaction.About the RoleWe are looking for a Data Engineer to lead the design and implementation of Nu Vision’s new data platform from the ground up. You’ll own the creation of a scalable data lake and analytics backbone that powers critical business decisions.This is an exciting opportunity to work with cutting-edge tools on Google Cloud Platform (GCP) — including Cloud Storage, Big Query, Cloud Functions, and Looker Studio — to centralize, transform, and model operational data for company-wide reporting and insights.What You’ll DoDesign, build, and maintain the end-to-end data pipeline on GCP.Ingest and organize raw data in Google Cloud Storage (GCS) for a reliable data lake.Set up and manage large-scale data lakes, ensuring scalability, reliability, and optimized data flow.Automate ongoing data ingestion using Cloud Functions + Cloud Scheduler.Develop robust ETL/ELT processes using Python and advanced SQL.Transform and model raw operational data into analytics-ready Big Query tables.Partner with business teams to turn reporting needs into efficient data models.Serve as the backbone for Looker Studio dashboards, ensuring performance, accuracy, and scalability.Establish and enforce data quality standards, documentation, and governance practices.What We're Looking For Minimum 10 years of experience in Data Engineering or a closely related field.Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or a related quantitative field.Extensive experience setting up and running Data Lakes on cloud environments (preferably GCP).Strong knowledge of Google Cloud Platform (GCS, Big Query, Cloud Functions, Cloud Scheduler).Hands-on expertise with Advanced SQL, Python scripting, and building Looker dashboards.Proven experience designing and optimizing ETL/ELT pipelines and data modeling.Deep understanding of BI tools (preferably Looker Studio) for reporting and dashboards.Passion for building scalable, automated, and well-documented data systems.Strong problem-solving skills and ability to translate business requirements into data solutions.

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