Data Engineer - ETL

3 - 8 years

5 - 15 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Key Responsibilities :
A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.- Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).- Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).- Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data pipelines in the Azure environment for performance, scalability, and reliability.- Ensure data quality and integrity through data validation techniques and frameworks.- Develop and maintain documentation for data processes, configurations, and best practices.- Monitor and troubleshoot data pipeline issues to ensure timely resolution.- Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.- Manage the CI/CD process for deploying and maintaining data solutions.

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Maimsd Technology

Technology / Software

Silicon Valley

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