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