Azure Data Engineer

TechDigital Group; San Francisco (CA); Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

A leading tech company in San Francisco is seeking an Azure Data Engineer to design, build, and maintain cloud-based data pipelines and analytics platforms using Azure services. The ideal candidate will have significant experience with Azure technologies, a strong background in data engineering, and the ability to optimize solutions for decision-making. This role offers excellent opportunities for growth and collaboration.

Qualifications

• Evaluate technical proficiency in T-SQL, SSIS, SSAS, and SSRS.
• Assess ability to construct robust ADF pipelines for data ingestion and transformation.
• Experience in ingesting and integrating data into the Azure Analytics Platform.
• Capability to optimize Azure solutions for enhanced decision-making.
• Evaluate experience in using Azure DevOps for project deliverables.
• Proficiency in managing data storage solutions.
• Experience with ETL processes and report development.
• Proficiency in relational databases and SQL language.
• Evaluate previous client engagement experience.
• Familiarity with agile development practices.

Connaissances

Microsoft Azure Stack

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure DevOps

Azure Storage/Data Lake

ETL Processes

Relational Databases and SQL

Formation

Bachelor's Degree in Computer Science or related field

Outils

Python Scripting

Spark APIs

Description du poste

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