As a Senior Data Warehouse Engineer specializing in map data warehouse, you will play a crucial role in designing, implementing, and maintaining our map data warehouse infrastructure. You will be responsible for architecting scalable, efficient, and reliable data warehouse solutions.
Key Responsibilities:
- Data Warehouse Architecture: Lead the design and development of our map data warehouse architecture, including data modeling, schema design, and ETL (Extract, Transform, Load) processes, to ensure scalability, performance, and data integrity for handling map data.
- ETL Development: Design, develop, and optimize ETL pipelines to extract, transform, and load map data from various source systems, including geographic information systems (GIS), satellite imagery, and point of interest (POI) databases, into the data warehouse using tools and technologies such as SQL, Python, or ETL platforms.
- Data Integration: Collaborate with cross-functional teams to integrate map data from disparate sources, including internal and external data providers, into the data warehouse to create a unified and comprehensive view of the organization's map data assets.
- Performance Tuning: Identify and address performance bottlenecks in the map data warehouse environment, including query optimization, indexing strategies, and data partitioning techniques, to ensure optimal performance and scalability for handling large-scale map data.
- Data Governance and Security: Implement data governance policies and security controls to ensure the confidentiality, integrity, and availability of map data stored in the data warehouse, in compliance with regulatory requirements and industry best practices.
- Monitoring and Maintenance: Monitor the health and performance of the map data warehouse infrastructure, proactively identify and address issues, and perform routine maintenance tasks, such as backups, upgrades, and patching, to ensure system availability and reliability.
Qualifications:
- Bachelor's or Master's degree in computer science, information systems, or a related field.
- 5 years of experience in data warehouse design, development, and implementation, with a focus on handling geospatial or map data.
- Strong proficiency in SQL and database management systems, such as PostgreSQL, MySQL, or SQL Server, with experience in spatial extensions and GIS functionalities.
- Experience with ETL tools and frameworks, such as Apache Spark, Apache Airflow, or Talend, for handling large-scale map data processing and integration.
- Knowledge of geospatial data formats, GIS tools, and geospatial libraries such as GDAL, GeoPandas, or ArcGIS, and experience with spatial indexing and optimization techniques.
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions for map data warehouse solutions.
- Effective communication and collaboration skills, with the ability to work independently and as part of a multidisciplinary team.