Cloud Data Engineer

Highspring is a globally recognized professional services organization offering expertise in Consulting, Managed Services, and Talent Solutions. They are seeking a Cloud Data Engineer to design, develop, and maintain scalable cloud-based data systems, focusing on implementing data pipelines and optimizing ETL processes.

Responsibilities:

• Design, develop, and maintain scalable and efficient cloud-based data systems (especially Snowflake)
• Implementing data pipelines
• Optimizing Extract, Transform, Load (ETL) processes
• Constructing data models
• Building data warehouses
• Conducting data analysis to support business objectives

Requirements:

• Proficiency in Data Engineering, including experience with cloud-based platforms and tools
• Strong skills in Data Modeling and Data Warehousing to effectively design and maintain robust database solutions
• Expertise in Extract, Transform, Load (ETL) processes to integrate and process large datasets efficiently
• Knowledge in Data Analytics to analyze business data for actionable insights
• Excellent problem-solving abilities and familiarity with programming languages like SQL, Python, or similar tools
• Bachelor's degree in Computer Science, Data Engineering, or a related technical field
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is highly regarded
• Familiarity with Snowflake, DBT, Python, and AWS preferred