Azure Data Engineer
Designing, building, and maintaining cloud-based data pipelines and analytics platforms using Azure services.
Skill or Category - Mandatory/Non-Mandatory - Evaluation Focus - Years of Experience - Minimum Rating Scale (0-5)
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