Manhattan WMOS Engineer
ShyftLabs
Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
Open
UVeye develops automated vehicle inspection systems for the automotive industry. Its technology supports dealerships, vehicle auctions, fleets, and assembly lines by making inspections faster, more consistent, and more accurate while helping improve security and operational efficiency. Founded in 2016, the company operates internationally from offices in the United States and Israel and collaborates with major automotive manufacturers and other industry partners.
Senior Data Engineer – Tel Aviv (Hybrid)
Build scalable data platforms and reliable pipelines for UVeye’s AI-powered vehicle inspection systems. This senior role focuses on analytics infrastructure, data quality, and automation from the Tel Aviv office.
Description
- Build and maintain high-performance data pipelines and ETL processes
- Partner with Product, Business Intelligence, Sales, and other teams to deliver integrated data solutions
- Enhance analytics platforms continuously while improving system performance
- Maintain dependable, resilient data infrastructure
- Manage the full data lifecycle, from infrastructure and acquisition through analysis and automated reporting
- Establish data quality checks, monitoring processes, and governance standards
- Protect data integrity and security across the platform
- Investigate and resolve data issues promptly and effectively
- Strengthen the Data Team while advancing innovation
Requirements
- At least 5 years of practical Data Engineering experience
- Background designing, developing, and operating scalable data pipelines and ETL/ELT workflows
- Experience with Airflow, Spark, Flink, Kafka, Pub/Sub, and dbt is advantageous
- Experience working with BigQuery or Snowflake
- Strong practical experience with public cloud platforms, preferably GCP or AWS
- Practical experience using GenAI technologies and AI-assisted engineering tools
- Advanced SQL skills
- Practical experience with MySQL, Firestore, Redis, and Elasticsearch
- Strong Python programming ability
- Experience with Looker or Tableau
- Excellent analytical and problem-solving capabilities
- Ability to explain technical concepts and findings clearly to technical and business audiences
- Availability to work from the Tel Aviv office four days per week
Benefits
- Opportunities for professional and career development
- Work with advanced AI, machine learning, and computer vision technologies
- Help improve automotive safety and reliability worldwide
- Engage in fast-paced development and strategic industry partnerships
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