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Lead I - Data Engineering_Azure Data Engineer

UST

5–10 yearsDirect Career PageEst. 15–30 LPA

Posted 18h ago

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Protocol Intelligence

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Moderate)

Shortlisting Strictness

(High)

Job Description

Structured overview of role & requirements

About This Role

Own development and implementation of data engineering solutions using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

Design and manage data pipelines and data integration workflows leveraging Azure cloud services including ADLS Gen2 and Azure SQL Database.

Incorporate Infrastructure as Code practices (Terraform, ARM Templates) and manage real-time data processing systems using Azure Event Hub and Stream Analytics.

Minimum Requirements

5 to 10 years of relevant experience in data engineering.

Proficiency in Azure Services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, ADLS Gen2, and Azure SQL Database.

Experience with Infrastructure as Code tools such as Terraform and ARM Templates.

Work Experience Required: 5-10 years as explicitly mentioned.

Ideal Candidate Profile

Experienced with Databricks Delta Live Tables and Synapse Pipelines for advanced data workflows.

Familiarity with data governance tools like Azure Purview and real-time data processing on Azure platform.

Strong skills in Apache Spark, Python, SQL, PySpark, and ETL processes indicating hands-on technical expertise in Azure Data Engineering environments.