Epicor is seeking a highly skilled Azure Data Engineer to join our dynamic team. As Data Engineer, you will be responsible for overseeing all aspects of our Azure data processing pipelines, including development, implementation, and testing. In addition, you will work closely with our business functions and BI team to identify opportunities to optimize their data processing pipelines and leverage Spark to achieve their goals. This is an excellent opportunity for a talented Azure Data Engineer who is looking to advance their skills and work with cutting-edge technologies in the Information Technology and Finance industry.

What you will be doing:

• Leverages Azure Data Factory and Databricks to assemble large, complex data sets that meet end-user and business requirements. Designs new solutions and services to improve overall user experience.
• Perform all duties and maintain all standards following 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, cost, and security.

• Implement data ingestion pipelines, integrating various 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 workflows using technologies such as Azure Spark or cloud-native data processing services.

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

• Monitor and optimize the performance of data platforms, identifying bottlenecks and implementing optimizations to improve data processing speed and efficiency.

• Identifies, designs, and implements internal process improvements such as automating manual processes and optimizing data delivery. Defines system design standards to improve and sustain standardization.

• Collaborate with DevOps teams to automate deployment, monitoring, and management of data platforms using infrastructure-as-code and CI/CD practices.

• Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering.

• Provides technical mentoring to other team members for best practices on data engineering and cloud technologies.

What you will likely bring:

• Strong experience in Microsoft Azure
• Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB)
• Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
• Experience with workload and job optimization for cost reduction
• Knowledge of database systems (relational and NoSQL) and data modeling principles.
• Familiarity with data governance, data security, and compliance frameworks.
• 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.
• Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS)

What could set you apart:

• Bachelor's or Master's degree in computer science, engineering, or a related field.
• 6+ years of proven experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data platforms.
• Microsoft related certifications
• Experience with visualization tools such as Tableau (preferred) or Power BI.