Description

• Lead efforts of gathering, processing, and making pricing data available for software development projects and reporting. 
• Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to understand requirements and ensure data infrastructure meets project needs. 
• Design and implement robust data pipelines to ingest, transform, and store pricing data from various sources. 
• Oversee the development and maintenance of databases, ensuring data quality, integrity, and security. 
• Evaluate and implement advanced data engineering technologies to enhance the efficiency and scalability of data processing. 
• Provide strategic guidance on data architecture and contribute to the overall data governance framework. 
• Stay abreast of industry trends and best practices in data engineering, ensuring our systems remain cutting-edge.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• 5-7 years of data engineering experience, exposure to projects related to pricing data is preferred but not a must. 
• Strong expertise in designing and implementing data pipelines which can be integrated to power pricing software. 
• Proficient in SQL, database design, and optimization techniques. Proficiency in Python and Databricks is a plus but not mandatory. 
• Solid understanding of cloud-based data storage and processing solutions (e.g., AWS, Azure and Snowflake). 
• Experience with version control systems and collaborative development practices. 
• Excellent communication and leadership skills, with the ability to work effectively in a collaborative and dynamic team environment. 
• Interest in performing other tasks such as data analysis and data validation. 
• Strong problem-solving and analytical skills. 

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