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Data Engineer - Land Ownership Monitoring Project

Querentia

Data Engineer Land Ownership Monitoring Project

Work Site: Calgary, CA (Onsite)



Start Date: Immediate Availability



Employment Type: Contract / Possible 3 Month CTH


Role Summary

We are seeking a Data Engineer to support a Land Ownership Monitoring project, working with external agencies to ingest land ownership records into the customer s data ecosystem. The role will focus on ETL development, data ingestion, analytics, and medallion architecture using Databricks .

Key Responsibilities
  • Develop and maintain ETL/ELT pipelines to ingest land ownership data from external agencies.

  • Retrieve and process data through FTP-based data transfers .

  • Design and implement data pipelines using Medallion Architecture (Bronze, Silver, Gold).

  • Perform data transformation, cleansing, validation, and quality checks.

  • Work with Databricks as the primary data engineering platform.

  • Analyze and troubleshoot data issues to ensure accuracy and completeness.

  • Collaborate with external agencies, business stakeholders, and technical teams to support data integration requirements.

  • Maintain technical documentation for data pipelines, transformations, and processes.

  • Support ongoing optimization and improvement of data ingestion and processing workflows.

Required Skills
  • Strong experience in Data Engineering and ETL/ELT development .

  • Hands-on experience with Databricks .

  • Strong understanding of Medallion Architecture and modern data platforms.

  • Experience working with FTP/SFTP-based data ingestion .

  • Strong data transformation, cleansing, validation, and analytics skills.

  • Experience integrating data from external sources and third-party agencies.

  • Strong SQL and data processing capabilities.

  • Excellent analytical, troubleshooting, and communication skills.

Nice to Have
  • Experience working with geospatial/spatial data and geographical datasets.

  • Experience with land, property, GIS, or ownership-related data.

  • Knowledge of cloud-based data platforms and data lake architectures.

  • Experience with data quality and governance practices.

Key Skills

Databricks | Data Engineering | ETL/ELT | Medallion Architecture | FTP/SFTP | SQL | Data Analytics | Data Transformation | Data Quality | Data Lake | Spatial/Geographical Data

Vacancy posted 1 day ago
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