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SWITS DIGITAL Private Limited
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Senior Azure Data Engineer

Senior Azure Data Engineer

SWITS DIGITAL Private Limited

5 years

0 Lacs

chennai tamil nadu india

Posted:1 day ago| Platform:

Apply

Skills Required

azure data design etl integration storage retrieval governance security analytics management databricks sql pyspark scripting processing optimization power

Work Mode

On-site

Job Type

Contractual

Job Description

Job Title:

Senior Azure Data Engineer

Location:

Chennai

Experience:

5+ YearsWe are seeking an experienced

Azure Data Engineer

to join our team in Chennai. The ideal candidate will have strong expertise in designing and implementing data solutions on Microsoft Azure, with hands-on experience in data pipelines, data modeling, and real-time data streaming. Experience with

Microsoft Fabric

and

Event Hub

is a strong plus.

Responsibilities

Design, build, and optimize data pipelines and ETL processes on Azure.
Work with Azure Data Factory, Data Lake, and other Azure data services.
Develop and maintain data integration and transformation workflows.
Implement real-time streaming and event-driven data solutions using Event Hub.
Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data solutions.
Optimize data storage, retrieval, and performance across large datasets.
Ensure data quality, governance, and security standards are followed.
Explore and leverage Microsoft Fabric capabilities to enhance analytics and data management.

Required Skills

5+ years of experience as a Data Engineer with focus on Azure cloud ecosystem.
Strong knowledge of Azure Data Factory, Azure Data Lake, Databricks, Synapse Analytics.
Experience in building and managing ETL/ELT pipelines.
Proficiency in SQL, PySpark, or other scripting languages for data processing.
Good understanding of data modeling, data warehousing, and performance optimization.
Hands-on experience with Event Hub or similar event streaming platforms.
Exposure to Microsoft Fabric is a plus.

Good To Have

Experience with Power BI integration for analytics.
Familiarity with CI/CD pipelines for data solutions.
Knowledge of cloud cost optimization and performance tuning.

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