IRIS Data Engineer
Tamer Omar, MBA, PMPUAESENIORPosted 11d ago
Azure DatabricksPySparkSQLADFInterSystems IRISETL/ELTDimensional ModelingStar SchemasSnowflake SchemasData Mart DesignADLS Gen2Delta LakeLakehouse ArchitecturedbtGitHubGitCI/CDUnity CatalogDatabricks WorkflowsInterSystems IRIS InteroperabilityAPIsObjectScriptPower BICloud SecurityAccess ControlsGovernanceMetadata ManagementData QualityAgileAzure DevOpsAWSRedshift
About the Role
We are looking for an experienced IRIS Data Engineer for a 6-month extendable contract in Dubai, UAE. The ideal candidate will have strong hands-on expertise in Azure Databricks, PySpark, SQL, ADF, and InterSystems IRIS, along with experience in modern cloud data platforms and enterprise data warehouse development.
Key Responsibilities
• Design and implement data solutions using InterSystems IRIS and Azure Databricks
• Develop and maintain ETL/ELT processes for data integration and transformation
• Implement dimensional modeling, star and snowflake schemas, and data mart design
• Utilize dbt or equivalent SQL-based transformation frameworks
• Manage data pipelines, tune Spark workloads, SQL queries, and warehouse processes
• Implement CI/CD pipelines and automated deployments
• Collaborate with stakeholders and provide technical documentation
Requirements
• 6+ years of experience in Data Engineering or Data Warehousing
• Strong hands-on experience with Azure Databricks, PySpark, SQL, and Azure Data Factory (ADF)
• Practical experience with InterSystems IRIS, IRIS SQL, data integration, or enterprise data warehouse development
• Strong understanding of ETL/ELT, dimensional modeling, star and snowflake schemas, and data mart design
• Experience with ADLS Gen2, Delta Lake, and Lakehouse Architecture
• Experience with GitHub/Git, branching strategies, CI/CD, and automated deployments
• Ability to tune data pipelines, Spark workloads, SQL queries, and warehouse processes
• Strong troubleshooting, documentation, communication, and stakeholder collaboration skills