Azure Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Developer (Databricks) with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Azure Databricks, ADF, Synapse, and PySpark, with a focus on geospatial data ingestion and scalable frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Louisville, KY
-
🧠 - Skills detailed
#ADF (Azure Data Factory) #Azure Databricks #Azure #Databricks #Spatial Data #Synapse #Azure Data Factory #PySpark #Scala #Spark (Apache Spark) #Datasets #Apache Spark #Data Ingestion
Role description
We are seeking an experienced Azure Developer (Databricks) to design and implement highly performant data ingestion and processing pipelines. The ideal candidate will have strong expertise in building scalable frameworks, handling geospatial datasets, and working with modern Azure data services.
• Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks.
• Delivering and presenting proofs of concept to of key technology components to project stakeholders.
• Developing scalable and re-usable frameworks for ingesting of geospatial data sets.
Required tech stack:
• Azure Databricks
• Azure Data Factory (ADF)
• Azure Synapse
• PySpark
We are seeking an experienced Azure Developer (Databricks) to design and implement highly performant data ingestion and processing pipelines. The ideal candidate will have strong expertise in building scalable frameworks, handling geospatial datasets, and working with modern Azure data services.
• Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks.
• Delivering and presenting proofs of concept to of key technology components to project stakeholders.
• Developing scalable and re-usable frameworks for ingesting of geospatial data sets.
Required tech stack:
• Azure Databricks
• Azure Data Factory (ADF)
• Azure Synapse
• PySpark
