Description

Design and build geospatial data pipelines using T-SQL, PL/SQL, and Python across SQL Server, Oracle, and PostgreSQL.

Responsibilities

• Develop and optimize complex ETL processes, stored procedures, and functions for data warehousing.
• Integrate geographic data formats (shapefiles, GeoJSON) using tools like ArcGIS or QGIS.
• Build and maintain APIs using Flask, FastAPI, or Django REST Framework.
• Manage data migration, change management, and release cycles via Azure DevOps and GitHub.
• Implement data integration patterns and multidimensional database designs.

Required Skills

• 7+ years of experience as an ETL Developer or Data Engineer.
• Proficiency in T-SQL and PL/SQL with Microsoft SQL Server, Oracle, and PostgreSQL.
• Strong programming skills in Python and C#.
• Experience with SSIS, SSRS, SSAS, and data warehousing concepts (Dimensions, Facts, Cubes).
• Familiarity with ETL tools such as Talend, Apache NiFi, or Informatica.
• Experience with cloud platforms (AWS, Azure, GCP) and related data services.
• Knowledge of geospatial tools (ArcGIS, QGIS) and data formats.
• Experience with ALM tools like Azure DevOps and GitHub for version control and release management.

Preferred Skills

• ETL certifications on Microsoft SQL Server or Oracle.
• Bachelor's degree in Computer Science, Information Systems, or GIS.

Key Skills

Education

Any Graduate