Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (Preference given to PhDs).
• Over 7 years of experience handling large datasets.
• Strong understanding of public cloud services (AWS).
• Skilled in data acquisition methods (API calls/FTP downloads), ETL processes, and data transformation/normalization.
• Expertise in the ETL process is required.
• Proven experience in developing components for central enterprise data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries).
• Practical experience with SQL, Python, Spark, and Kafka.
• Excellent communication skills, with strong proficiency in spoken and written English.

About this Job

Scopeworker Business Intelligence processes enterprise customer data in real-time. We create and maintain strong and reliable data pipelines to ensure 24/7 business operations and support systems, tools, dashboards, and data analysts to highlight business insights and opportunities. This actionable business intelligence is delivered in real-time to our Fortune 100 users, including data engineers, analysts, and C-Level executives. As a Data Architect, you'll innovate, design, build, and automate scalable solutions and large datasets, applying software engineering expertise to the complex processes of data processing and pipeline development. You will tackle big data challenges using agile methods, build data models to provide insightful analytics, and maintain the highest standards of data integrity.