Job Description:
Design develop and maintain data pipelines and ETL processes using Azure Databricks PySpark and Azure Data Factory/AWS/GCP.
Build and optimize scalable data models and data lakes/warehouses on Azure.
Develop high-performance Python/PySpark scripts for data transformation and processing.
Write tune and optimize SQL queries for large-scale datasets.
Work with structured and unstructured data sources (databases APIs files streaming data).
Collaborate with data architects business analysts and stakeholders to deliver high-quality solutions.
Ensure data governance quality and security standards are followed.
Monitor and troubleshoot data pipelines ensuring high availability and performance.
Stay updated on emerging Azure technologies and recommend best practices.
Data Engineer-Manager • Mumbai, Maharashtra, India
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