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Data Engineer
Attibele, KA, IN
Magellanic-Cloud
Data Engineer - ETL
Attibele, KA, IN
11 days ago
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Summary
Responsibilities
Design, develop, and maintain scalable and efficient ETL pipelines using Azure Data Factory (ADF).
Leverage PySpark and Databricks to process and transform large datasets.
Build and optimize data models and data warehouse solutions on Azure.
Write complex SQL queries for data extraction, manipulation, and analysis.
Implement data quality checks and monitoring to ensure data accuracy and reliability.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver robust data solutions.
Troubleshoot and resolve data pipeline issues and performance bottlenecks.
Stay up-to-date with the latest advancements in data engineering technologies and best practices.
Contribute to the development and maintenance of data engineering standards and Skills :
Strong proficiency in PySpark for large-scale data processing.
Extensive experience with Microsoft Azure cloud services.
Hands-on expertise in building ETL pipelines using Azure Data Factory (ADF).
Proven experience with Databricks for data engineering and analytics.
Solid understanding of ETL (Extract, Transform, Load) concepts and methodologies.
Excellent SQL skills for data querying and :
Bachelor's degree in Engineering (B.) or Bachelor of Technology (B.Tech) in Computer Science, Information Technology, or a related field
(ref:hirist.tech)
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