Data Engineer

Key Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines for data extraction, transformation, and loading (ETL) from various sources into data warehouses or data lakes.
• Optimize and tune data pipelines for performance and efficiency.
• Create and maintain data models that support business reporting and analytics requirements.
• Implement data partitioning, indexing, and optimization strategies
• Perform data transformation and cleansing to prepare data for analysis.
• Implement data validation and enrichment processes.
• Monitor data pipelines and systems for performance, reliability, and data quality issues.
• Continuously optimize and improve data processing and storage.
• Additional duties as assigned.

Required Skills:

• Proficiency in data engineering concepts, including ETL processing, data warehousing, and data modeling
• Knowledge or experience with geospatial databases such as PostgreSQL/PostGIS/SQL Server/SQL Server Spatial, including schema design and optimization
• Strong SQL skills for data querying and manipulation, including spatial queries
• Experience using ETL tools and frameworks for data pipeline development
• Experience working with database tools in AWS (S3, DMS, EC2)
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Familiarity in data querying and manipulation, including spatial queries
• Experience with big data computing

Preferred experience:

• Familiarity with Geospatial Database concepts a plus
• Strong technical and analytical skills
• Experience working on an Agile team a plus
• Working in repositories, specially GIT

Required Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).