Data Engineer

Berkley • Overland Park, KS

17d

About The Position

Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and managing our company's data systems. This essential position supports our growth and innovation by ensuring the availability of high-quality data. You will be responsible for designing and building scalable data pipelines, developing data models, and implementing strategies for data acquisition and management. Your expertise in data infrastructure and database management will enhance the availability, reliability, and integrity of data used across the organization.

Requirements

• A university or college degree in Computer Science or a related field, or equivalent professional experience.
• Proven experience as a Data Engineer or in a similar role involving data management, with a solid foundation in data warehousing and database design.
• Strong expertise in designing, implementing, and optimizing SQL queries, including stored procedures.
• Proficiency in data modeling techniques, including dimensional modeling, to support data warehousing and business intelligence.
• Hands-on experience with Microsoft Azure, including services like Azure SQL Database, Azure Data Factory, and Azure Cosmos DB.
• Proficiency in handling various database technologies, ensuring efficient data storage and retrieval.
• Experience with data integration tools and techniques, such as Azure Data Factory and SSIS.
• Knowledge of reporting tools such as SSRS and Power BI.
• Excellent analytical abilities with a knack for solving complex problems and proposing effective solutions.
• Strong capability to work collaboratively in a dynamic team environment, with stellar communication skills.

Responsibilities

• Design, construct, test, and maintain highly scalable data management systems that adhere to both business requirements and industry best practices.
• Create data models and architecture patterns that optimize functionality, cost, performance, scalability, reusability, security, and extensibility.
• Devise, support and implement strategies for data acquisition, archival recovery, and database implementations to ensure data fidelity and cleanliness.
• Maintain robust data integrity across a variety of data sources and systems, facilitating data migrations and preparing data for advanced analytics.
• Oversee and enhance the performance and storage of database systems through automated maintenance scripts.
• Collaborate with developers, data scientists, analysts, and others to support data-related technical needs and improvements.
• Stay updated on industry trends and technologies, advocating for new tools and techniques that can enhance our data architecture and management capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree