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Senior Data Engineer at Zoolatech

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Rakuten

Zoolatech Всі вакансії (133)

4.8 ★ Based on
Founded in 2017
Miami, US (4 Locations)
501 to 1000 Employees

Деталі

Дата публікації

December 17, 2025

Локація

Other, Central Europe

Кар'єрний рівень

Senior

Освіта

Bachelor


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.
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, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform.
– Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models.
– Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies.
– Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.
– Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.
– Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits.
– Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals.
– 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
– Sick Days
– Floating Holidays
– Sport/Insurance Compensation
– English Classes
– Charity Training Compensation
COMPENSATION & BENEFITS

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