Data Engineer I

Overview:

As a Data Engineer I, this role combines expertise in demography with strong programming skills to create tools that help organizations understand population trends, social dynamics, and economic factors. The ideal candidate will work closely with data scientists, statisticians, and policy analysts to design, develop, and maintain applications that process large datasets, generate reports, and visualize demographic patterns. Responsibilities include coding, testing, and deploying software modules, integrating demographic models, and ensuring data accuracy and security

What you will do:

• Design data processing pipelines to handle large and complex datasets
• Create visualizations and reports to communicate Data product insights
• Ensure data accuracy, security, and compliance with privacy regulations
• Test and debug data to maintain high-quality standards
• Stay updated with Location Intelligence research and technological trends
• Optimize software performance and scalability
• Document code and development processes clearly
• Provide technical support and training to end-users
• Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria. Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed.
• Collaborate with other team members, also work with cross-functional teams according to requirements. Peer review of code practice needs to be followed.
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable.
• Be agile and embrace change.

What we are looking for:

• Minimum 3 years experience with Python or Geographic Information System (GIS) 
• Bachelor’s Degree in Engineering/ Geospatial/ Geography/ Computer Science/ Statistics
• Proficiency in programming languages such as Python is a must
• Experience with database management and data querying (SQL)
• Strong understanding of Location and GIS based data
• Familiarity with data visualization tools and libraries (e.g., Tableau)
• Experience in Cloud technologies like AWS, Azure etc.
• Excellent knowledge of database concepts and complex query writing
• Excellent knowledge in Query Optimization for better performance
• Exposure to Geo-spatial domain and how geospatial data is stored in database is preferred
• Ability to communicate with various stakeholders at all levels of the organization.
• Excellent verbal and written communication skills
• Excellent interpersonal skills and active listener
• Able to set and meet time-sensitive goals
• Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams

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