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 Dev Ops Mandatory Evaluate experience in using Azure Dev Ops 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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