Описание

technologies-expected :

• SQL
• T-SQL

technologies-optional :

• Python
• Java
• Microsoft Azure
• AWS
• Google Cloud Platform

responsibilities :

• Design and implement robust, scalable, and high-performance data pipelines to ingest, process, and serve structured and unstructured data from various internal and external sources (e.g., TMS, WMS, ERP, telematics, IoT).
• Optimize system performance and scalability for large logistics and operational data volumes.
• Build and maintain data models, data marts, and data warehouses/lakes that support analytics and decision-making.
• Partner with the team to translate business requirements into technical data solutions.
• Implement data quality, lineage, and observability practices.
• Drive ETL/ELT best practices, automation, and operational excellence in data workflows.
• Ensure security, compliance, and privacy standards in data processing.
• Take ownership of production support.

requirements-expected :

• 5+ years of experience as a Data Engineer or in a similar backend engineering role.
• Proven experience building production-grade data pipelines (ETL/ELT).
• Strong proficiency with SQL and TSQL in conjunction with Python or Java.
• Solid understanding of cloud platforms (e.g.,Azure AWS, or GCP).
• Strong grasp of data modeling, data architecture, and data governance principles.
• Strong grasp of data modeling, data architecture, and data governance principles.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong knowledge of database normalization, indexing strategies, and execution plans.

offered :

• Personalized benefits based on your preferences.
• Diversity of domains & businesses.
• Flexible working mode in hybrid teams.
• Opportunity to work from home, office or whenever you want to.
• Company events and team activities.
• Mentorship Program and Individual Development Plan.
• English classes to take your speech and writing to a new level.
• Global certification preparation program (AWS, ISTQB, Unity, Scrum, etc.), and comprehensive online courses on Udemy, Educative, Pluralsight, edX.

benefits :

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• employee referral program