As an Azure Data Engineer, you'll design and maintain data solutions on Azure, collaborate with teams, optimize ETL/ELT processes, and ensure data governance.
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.
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Top Skills
Spark
Azure Data Factory
Azure Data Lake Storage (Adls)
Bash
Ci/Cd Pipelines
Fabric Lakehouse
Github Actions
Azure
Powershell
Pyspark
Python
SQL
Synapse Analytics
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