Senior Azure Data Engineer - ETL / PySpark
knowledge ArtisanBangalore30+ days ago
Job descriptionAdvanced SQL for complex transformations. Azure Data Factory (ADF) experience. Azure Databricks with PySpark (must-have). Python programming (PySpark). Big Data processing approaches & schema-on-read methodologies. Knowledge of Power BI / Tableau. Azure Synapse (added advantage). Power BI DAX (good-to-have). Experience designing scalable, high-performance data pipelines. Strong collaboration skills with BI, analytics, and engineering teams.
About the Role :
We are looking for Sr. Azure Data Engineers to design, develop, and optimize data engineering pipelines on Azure. You will work hands-on with Azure Data Factory, Databricks (PySpark), Azure Synapse, and ADLS Gen2, ensuring scalable, high-performance solutions and collaborating with BI teams for analytics.
Key Responsibilities :
- Design and optimize ETL / ELT pipelines using Azure Data Factory / Synapse Pipelines.
- Develop data processing workflows in Azure Databricks using PySpark.
- Work with Azure Data Lake Storage (ADLS Gen2) for efficient data storage and access.
- Ensure data quality, scalability, and performance in all solutions.
- Collaborate with BI teams to deliver insights via Power BI / Tableau.
- Apply best practices for big data processing, schema-on-read, and data modeling.
Required Skills :
Other Requirements :
(ref : hirist.tech)
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Azure Data Engineer • Bangalore
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