Python Developer - Azure Data Factory

<p><p><b>Required Skills and Experience :</b></p><p><br/></p><p>- 5+ years of hands-on experience as a Python Developer.<br/><br/></p><p>- Strong experience with PySpark.<br/><br/></p><p>- Proficient in Azure Databricks, PySpark, and Delta Lake.<br/><br/></p><p>- Solid experience with Python and FastAPI for API development.<br/><br/></p><p>- Experience with Azure Functions for serverless API deployments.<br/><br/></p><p>- Skilled in managing ETL pipelines using Apache Airflow.<br/><br/></p><p>- Hands-on experience with PostgreSQL and MongoDB.<br/><br/></p><p>- Strong SQL skills and experience handling large Responsibilities : </b></p><p><br/></p><p><b>Azure Cloud s Databricks : </b></p><br/></p><p>- Design and build efficient data pipelines using Azure Databricks (PySpark).</p><p><br/>- Implement business logic for data transformation and enrichment at scale.<br/><br/></p><p>- Manage and optimize Delta Lake storage solutions.<br/><br/></p><p><b>API Development :</b></p><p><br/></p><p>- Develop REST APIs using FastAPI to expose processed data.<br/><br/></p><p>- Deploy APIs on Azure Functions for scalable and serverless data access.<br/><br/></p><p><b>Data Orchestration ETL : </b><br/><br/></p><p>- Develop and manage Airflow DAGs to orchestrate ETL processes.<br/><br/></p><p>- Ingest and process data from various internal and external sources on a scheduled Management : </b></p><p><br/></p>- Handle data storage and access using PostgreSQL and MongoDB.<br/><br/></p><p>- Write optimized SQL queries to support downstream applications and : </b><br/><br/></p><p>- Work cross-functionally with teams to deliver reliable, high-performance data solutions.<br/><br/></p><p>- Follow best practices in code quality, version control, and documentation.</p><br/></p> (ref:hirist.tech)