TL;DR
Senior Data Engineer (Azure): Designing and implementing scalable, reusable, and high-quality data products for a global jewelry manufacturer with an accent on ETL processes, data pipelines, and data platform optimization. Focus on ensuring data quality, reliability, and performance while applying DevOps practices and collaborating with cross-functional teams.
Location: Remote from Ukraine
Company
A global jewelry manufacturer undergoing a major transformation to a modern Azure PaaS data platform.
What you will do
- Design, develop, and maintain scalable ETL processes and data pipelines.
- Collaborate with product owners, architects, and cross-functional teams to translate business requirements into technical solutions.
- Ingest, transform, and optimize large, complex data sets, ensuring data quality, reliability, and performance.
- 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 maintainability.
Requirements
- 5+ years of experience as a Data Engineer designing, building, and delivering production-ready data products at enterprise scale.
- Proficiency in Python, SQL, and relevant programming languages.
- Production experience with Azure Synapse Analytics, Databricks, and PySpark.
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Solid understanding of ETL processes, data warehousing, and database management.
- Ability to design and implement data models for transactional and analytical systems.
- Strong analytical thinking, problem-solving, and excellent communication skills.
Nice to have
- Leadership or mentoring experience.
Culture & Benefits
- Paid Vacation, Holidays, Sick Days, and Bereavement Leave.
- Sport and Insurance Compensation.
- English Classes.
- Charity and Training Compensation.
- Remote work option available.
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