Senior Data Engineer - R01557053

6 Minutes ago • All levels

Data Analysis

Job Description

Brillio is seeking a Senior Data Engineer with expertise in the Azure Data Stack. This role involves designing, building, and optimizing large-scale data pipelines and analytics solutions. Key responsibilities include developing and maintaining data pipelines using Azure Data Factory, Databricks, and Synapse Analytics, working with structured/unstructured data, and optimizing data models for scalability and performance. The engineer will collaborate with various teams and ensure compliance with data governance and security standards.

Good To Have:

Fair idea of Fabrics

Must Have:

Design, build, and optimize large-scale data pipelines and analytics solutions.
Develop and maintain data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
Work with structured/unstructured data for analytics and reporting.
Optimize data models and storage for scalability and performance.
Ensure compliance with enterprise data governance and security standards.
Hands-on expertise with Azure Data Factory, Azure Databricks, Synapse, Data Lake.
Strong proficiency in SQL, Python, PySpark.
Experience in ETL/ELT pipeline design, data warehousing, and real-time streaming.
Knowledge of Azure DevOps, CI/CD, and cloud data architecture best practices.

Add these skills to join the top 1% applicants for this job

communication

game-texts

azure

azure-devops

ci-cd

python

sql

Primary Skills

AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions

Job requirements

Looking for a Data Engineer with Azure Data Stack expertise to design, build, and optimize large-scale data pipelines and analytics solutions.
Key Responsibilities:
• Develop and maintain data pipelines using Azure Data Factory, Databricks, and Synapse Analytics
• Work with structured/unstructured data for analytics and reporting.
• Optimize data models and storage for scalability and performance.
• Collaborate with data scientists, BI developers, and business teams.
• Ensure compliance with enterprise data governance and security standards.

Required Skills:
• Hands-on expertise with Azure Data Factory, Azure Databricks, Synapse, Data Lake and fair idea of Fabrics
• Strong proficiency in SQL, Python, PySpark.
• Experience in ETL/ELT pipeline design, data warehousing, and real-time streaming.
• Knowledge of Azure DevOps, CI/CD, and cloud data architecture best practices.
• Excellent communication and problem-solving abilities.

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