As an Azure Data Engineer you can expect to...

Design, build, and maintain data engineering solutions on Microsoft Azure and Fabric (Lakehouse, Warehouse, Data Factory, Synapse Analytics, Dataflows, Eventstreams)
Coordinate sprints, daily stand-ups, and retrospective meetings as part of Agile delivery
Collaborate with business and technical teams to analyze, document, and validate requirements
Perform source system analysis and identify appropriate data ingestion and integration strategies for both batch and streaming pipelines
Develop and optimize ETL/ELT solutions using Azure Data Factory pipelines, Synapse pipelines, or Fabric Data Pipelines
Leverage services such as Azure Data Lake Storage (ADLS), Synapse Analytics, SQL Database, Azure Functions, Event Hub, Synapse Spark, and Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Pipelines) for data integration and transformation
Write and optimize SQL, Python, and PySpark code for large-scale data processing
Implement data ingestion frameworks, incremental/delta loads, and medallion architecture patterns (Bronze/Silver/Gold)
Connect and integrate diverse data sources (SQL, Oracle, ODBC, ERP, CRM, APIs, flat files, streaming events) into Fabric and Azure ecosystems
Ensure data quality, security, and governance in alignment with enterprise standards
Continuously research and adopt efficient methods for scalable data movement, transformation, and storage
Work independently and as part of a cross-functional team to deliver high-quality solutions

You're great at...

Working in Microsoft Fabric and Azure Data Services to design, build, and optimize enterprise-grade data pipelines
Modern data engineering, advanced SQL/Spark skills, and working collaboratively in Agile environments
Solving complex problems with creative solutions  
Learning new concepts quickly and thoroughly  
Learning new concepts quickly and thoroughly Promoting the mission and Shared Values of our company

Requirements

Sound interesting? If so, you'll have...

3+ years of consulting experience in Data Engineering/Data Warehousing
Strong hands-on expertise with Azure Data Factory, Synapse Analytics, Fabric Lakehouse, and ADLS
Proficiency in SQL, Python, and Apache Spark (PySpark/Synapse/Fabric Notebooks)
Experience integrating batch and real-time data sources into Azure/Fabric
Solid understanding of Relational Databases, Analytical Databases, and NoSQL systems
Strong problem-solving ability and a self-starter mindset with the ability to learn new technologies quickly
Experience with PowerShell or Bash scripting for automation
Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions) for data engineering solutions
Knowledge of Data Governance & Cataloging (Microsoft Preview)
Experience with Synapse link/Fabric Link

Benefits

We offer competitive pay with and performance-based bonus. Our employees also enjoy unlimited paid time off and a flexible and affordable benefits program designed to help you be and stay well, including: medical, dental & vision coverage, flexible spending accounts, health reimbursement account, and a 401(k) plan with a company match. Additionally, you'll have the benefit of working alongside enthusiastic and energetic teammates in a dynamic and thriving environment.

HSO is an Equal Opportunity Employer.

HSO

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Azure Data Engineer