LTIMindtree

Azure Data Engineer

Bangalore Division, KA, IN

about 2 months ago
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Summary

Greeting from LTIMINDTREE!!


(PLEASE FILL THE BELOW FORM TO PROCEED FURTHER.


https://forms.office.com/r/YQnUYSzqxL


Experiences: 5 yrs-12yrs

Location: Bangalore


If so, I’d be happy to coordinate. please share your updated resume to

[email protected]


Key Skills

Azure Data Engineer who has hands on Experience in Azure Data Factory Pyspark, Azure devops, Azure delta lake,


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. A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.


Key Responsibilities:

· 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.



"LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law."

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