Azure Data Engineer

Overview

Azure Data Engineer
Focus: Designing, building, and maintaining

cloud-based data pipelines and analytics platforms using Azure services.
Skills and Qualifications

Microsoft Azure Stack

Mandatory Evaluate technical proficiency in T-SQL, SSIS, SSAS, and SSRS
Azure Data Factory

Mandatory Assess ability to construct robust ADF pipelines for data ingestion and transformation
Azure Databricks

Mandatory Experience in ingesting and integrating data into the Azure Analytics Platform
Azure Synapse Analytics

Mandatory Capability to optimize Azure solutions for enhanced decision-making
Azure DevOps

Mandatory Evaluate experience in using Azure DevOps for project deliverables
Azure Storage/Data Lake

Mandatory Proficiency in managing data storage solutions
ETL Processes

Mandatory Experience with ETL processes and report development
Relational Databases and SQL

Mandatory Proficiency in relational databases and SQL language
Python Scripting and Spark APIs

Non-Mandatory Assess experience with Python scripting and Spark APIs
Client-Facing Experience

Non-Mandatory Evaluate previous client engagement experience
Agile Development Methodologies

Non-Mandatory Familiarity with agile development practices
Bachelor's Degree

Mandatory Possession of a degree in Computer Science, Information Technology, or related field

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