MDM Data Engineer Location: Remote (Offshore) Job type: Full time Must Have Skills: SKills Rating out of 5 No of years exp Snowflake- 5 Years PL/SQL- 5 Years Master Data Management- 5 Years Scripting – Python-
Why Join Us: We’re a small but mighty Amazon & TikTok growth agency with real momentum, and we’re still small enough that every person on the team genuinely matters. No layers, no bureaucracy. Just a tight
About Parking Base Parking Base is an innovative, cloud-based platform designed to streamline parking business operations. From real-time inventory management to reservation systems, payment processing, and enforcement, Parking Base offers comprehensive solutions. Our platform also includes
At ApplyAZ, we’re building systems that handle the daily work behind student applications, appointments, documents, and follow-ups. Our infrastructure runs on AWS, our product layer uses Next.js, and we’re building AI agents that carry out operational
Commercial Pipeline Visibility & Reporting: Coordinate the end-to-end pipeline reporting layer for Applied Research Intelligence and Audience Solutions, including weekly pipeline health, forecast accuracy, conversion analytics, and leading indicators of commercial momentum. Work across BU, Revenue
Senior Backend Engineer Location: Remote Employment: Full-Time Experience: 5+ Years Working Hours: 9:30 PM - 6:30 AM IST (aligned with PST) Preferred: Startup / High-Growth Technology Experience ABOUT THE ROLE We are looking for a Senior
Title: Sr. Data Analytics Engineer(Night Shift) Location: Remote Duration: 6+ Months Very strong SQL Experience in ETL and complex data transformations Strong attention to sematic modeling Experience in 3-tier/medallion architectures Understanding of warehouse modeling - fact
About Pull Logic Pull Logic is an Availability Intelligence Platform and a Georgia Tech spin-out with teams in Atlanta and Düsseldorf. We help Equipment Manufacturers with dealer networks, Electrical & Lighting Manufacturers, and Electrical Distributors improve product availability