We are looking for an experienced Data Engineer to join our team in Raleigh, North Carolina. In this position, you will play a pivotal role in designing, developing, and managing data solutions that support organizational decision-making. The ideal candidate will have a strong background in data engineering and a desire to grow into Data Architecture responsibilities.<br><br>Responsibilities:<br>• Design and implement data pipelines to extract sales data and integrate it into Snowflake using Snowpipe.<br>• Collaborate with executive leadership and vendors to ensure data solutions align with business objectives.<br>• Develop and maintain APIs to connect various systems and streamline data flow.<br>• Optimize data security and access controls within Snowflake, ensuring compliance with organizational standards.<br>• Participate in data modeling updates, focusing on improving principles, solutions, and methodologies.<br>• Work closely with a small team of data analysts, engineers, and managers to address diverse engineering challenges.<br>• Monitor and enhance data pipeline performance through testing, governance, and continuous delivery.<br>• Provide input on enterprise data architecture strategies, including logical, conceptual, and physical data models.

• Minimum of 3 years of experience as a Senior Data Engineer, with aspirations to transition into Data Architecture roles.<br>• Proficiency in Snowflake, including data ingestion pipelines, security, and access control design.<br>• Strong programming skills in Python and Java for data transformation and integration tasks.<br>• Hands-on experience with data transformation tools such as FiveTran, Informatica, Matillion, or Coalesce.<br>• Expertise in connecting systems via APIs and ensuring seamless data integration.<br>• Excellent communication skills, with the ability to lead meetings and collaborate with stakeholders.<br>• Familiarity with data warehousing concepts and principles, including data vault methodologies.<br>• Experience with DevOps practices, tools, and techniques for efficient data pipeline management.

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