This is a remote position.

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  Build and maintain Python Notebooks to ingest data from third-party APIs
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  Design and implement Medallion layer architecture (Bronze, Silver, Gold) for structured data organization and progressive data refinement
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  Store and manage data within Microsoft Fabric's Data Lake and Warehouse using delta parquet file formats
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  Set up data pipelines and sync key datasets to Azure Synapse Analytics
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  Develop PySpark-based data transformation processes across Bronze, Silver, and Gold layers
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  Collaborate with developers, analysts, and stakeholders to ensure data availability and accuracy
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  Monitor, test, and optimize data flows for reliability and performance
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  Document processes and contribute to best practices for data ingestion and transformation

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  Python (Notebooks)
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  PySpark

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  Microsoft Fabric Data Lake & Data Warehouse
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  Delta Parquet files

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  Azure Synapse Analytics

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  Azure Data Factory, Azure DevOps

Requirements

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  Strong experience with Python for data ingestion and transformation
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  Proficiency with PySpark for large-scale data processing;
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  Proficiency in working with RESTful APIs and handling large datasets;
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  Experience with Microsoft Fabric or similar modern data platforms;
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  Understanding of Medallion architecture (Bronze, Silver, Gold layers) and data lakehouse concepts;
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  Experience working with Delta Lake and parquet file formats;
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  Understanding of data warehousing concepts and performance tuning;
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  Familiarity with cloud-based workflows, especially within the Azure ecosystem.

Nice to Have

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  Experience with marketing APIs such as Google Ads or Google Analytics 4;
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  Familiarity with Azure Synapse and Data Factory pipeline design;
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  Understanding of data modeling for analytics and reporting use cases;
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  Experience with AI coding tools;
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  Experience with Fivetran, Aribyte, and Riverly.