We're on the lookout for a skilled Cloud Data Engineer to help shape our data platform, enabling seamless integration, storage, and analysis of vast datasets. In this role, you'll work with industry-leading tools and collaborate with cross-functional teams to deliver scalable, secure, and high-performance data solutions. If you thrive on tackling complex challenges and have a knack for optimizing cloud-based architectures, we want to hear from you!

What you will be doing:

• Perform all duties and maintain all standards in accordance with company policies, procedures, and internal controls such as SOX.

• Design, implement, and maintain cloud-based data pipelines to enable efficient storage, processing, and analysis of large volumes of data.

• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures.

• Evaluate and select appropriate cloud infrastructure and services to support data storage, processing, and analytics needs, considering factors such as scalability, performance, extendibility, cost, and security.

• Implement data ingestion pipelines, integrating various, disparate data sources and ensuring data quality, integrity, and timeliness.

• Design and optimize data storage solutions, including data lakes, data warehouses, and data marts, to support different types of data processing and analysis.

• Implement data processing and transformation workflows using technologies such as Azure Spark, Azure SQL Pools / data warehouses or other cloud-native data processing services.

• Develop and maintain data governance and security policies, ensuring compliance with data protection regulations and industry best practices.

What you will bring:

• Azure Data Engineering Fundamentals certification or relevant experience

• Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Synapse, Azure SQL Pools and On-Demand Clusters, Azure Data Factory, Azure Databricks)

• Experience with data integration and ETL (Extract, Transform, Load) processes and best practices, including tools like cloud-native orchestration services experience with workload and job optimization for cost reduction.

• Understanding of distributed computing principles and scalable architectures.

• Excellent problem-solving and troubleshooting skills, with the ability to address complex data platform challenges.

• Strong communication and collaboration skills to work effectively with cross-functional teams

• Deep knowledge of data ingestion strategies and understanding of the Data Lake and Dimensional data models within Azure. (ex: delta lakes and medallion architecture)

• Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS) or relevant AzureSQL, MySQL, Postgres experience

What could set you apart:

• 4+ years of proven experience as a Data Engineer, Software Engineer, Data Architect or similar role, with a focus on building cloud-based data platforms and solutions.

#LI-EG1 #LI-HYBRID

Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

Recruiter: