Job Description
Job Overview
Plan A Technologies is looking for a Data Engineer to design, develop, and optimize the data pipelines and infrastructure powering our cloud analytics platform. This role is responsible for building robust, scalable ETL/ELT processes using Azure Data Factory, Fivetran, Databricks, and PySpark within a Medallion Architecture (Bronze/Silver layers). You will enable efficient ingestion, transformation, and delivery of high-quality data for reporting and analytics purposes.
Please note: you must have at least 8+ years of experience as a Data Engineer to be considered for this role.
Job Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, PySpark, and Fivetran.
- Develop and optimize transformation processes in Azure Databricks, following the Medallion Architecture (Bronze → Silver).
- Implement data quality checks, audit mechanisms, and validation pipelines.
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