Senior Data Engineer at Zoolatech (вакансія неактивна)

ABOUT THE PROJECT

Our client is a global jewelry manufacturer undergoing a major transformation, moving from IaaS-based solutions to a modern Azure PaaS data platform. As part of this journey, you will design and implement scalable, reusable, and high-quality data products using technologies such as Data Factory, Data Lake, Synapse, and Databricks. These solutions will enable advanced analytics, reporting, and data-driven decision-making across the organization. By collaborating with product owners, architects, and business stakeholders, you will play a key role in maximizing the value of data and driving measurable commercial impact worldwide.

REQUIREMENTS

– 5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server.
– Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes.
– Practical experience with Azure Data Factory, Databricks, and PySpark.
– Track record of designing, building, and delivering production-ready data products at enterprise scale.
– Strong analytical skills and ability to translate business requirements into technical solutions.
– Excellent communication skills in English, with the ability to adapt technical details for different audiences.
– Experience working in Agile/Scrum teams.

RESPONSIBILITIES

– Design, develop, and maintain scalable ETL processes and data pipelines.
– Collaborate with product owners, architects, and cross-functional teams to translate business and product requirements into technical solutions.
– Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.
– Ensure data integrity, quality, and consistency through rigorous testing and validation.
– Optimize data storage, retrieval, and processing for performance and scalability.
– Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.
– Document technical specifications, data models, and system architecture for team alignment and long-term maintainability.
– Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering.

WHAT WE OFFER

– Paid Vacation
– Hybrid Work (home/office)
– Sick Days
– Sport/Insurance Compensation
– Holidays Day Off
– English Classes Training Compensation
– Transportation compensation

COMPENSATION & BENEFITS

– Paid Vacation
– Hybrid Work (home/office)
– Sick Days
– Sport/Insurance Compensation
– Holidays Day Off
– English Classes Training Compensation
– Transportation compensation