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Job Description & How to Apply Below
We are looking to hire an Enterprise Data Solutions Consultant (Remote) who will be responsible for designing and delivering enterprise data solutions, data integration, and data migration initiatives for our client based in Dubai, UAE, which is one of the largest companies in the region.
This position is a 12 months renewable contract and a remote work environment.
The Enterprise Data Solutions Consultant will be responsible for building scalable data integration solutions, supporting data migration activities, developing data-driven solutions, and ensuring seamless data flow from enterprise source systems to analytics and reporting platforms. The role will work closely with Data Engineering, BI, and business teams across Finance, Procurement, and Human Capital Management to translate business requirements into effective technical data solutions.
Key responsibilities:
Design and develop enterprise data solutions to support business reporting, analytics, and operational requirements.
Build and maintain data integration workflows using Azure Data Factory, Microsoft Fabric, and Power BI Dataflows .
Develop and optimize SQL queries, stored procedures, and data transformation logic for enterprise use cases.
Support the design and implementation of data models supporting Power BI dashboards and analytical outputs .
Ensure data solutions follow enterprise architecture patterns, including Lakehouse Bronze/Silver/Gold , and relevant data governance standards.
Lead data integration activities across Oracle Fusion, HR systems, and other enterprise data sources .
Support data migration activities including data extraction, transformation, validation, and loading into target platforms.
Develop and maintain data connectors, APIs, and integration patterns for cross-system data exchange.
Troubleshoot data pipeline failures, refresh issues, and integration errors, and implement appropriate monitoring and alerting.
Collaborate with Data Engineering teams to ensure reliable end-to-end data flows and adherence to SLAs.
Implement data validation and quality assurance processes to ensure data accuracy, completeness, and timeliness.
Conduct solution testing, coordinate UAT, and support defect resolution to ensure production readiness.
Translate business requirements into technical solution designs and implementation plans .
Provide consulting on data best practices, solution architecture, and enterprise data standards.
Support data feasibility assessments and effort estimates for proposed data solutions.
Maintain comprehensive documentation for data solutions, integration workflows, and configurations.
Knowledge, skills & experience:
Bachelor's degree in Computer Science, IT, Data Engineering, or a related field .
Minimum 10 years of experience out of which 4–7 years of relevant experience in data engineering, data integration, data migration, or enterprise data solutions.
Hands-on experience with Microsoft Azure, Microsoft Fabric, or Databricks platforms.
Strong experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Synapse and/or Microsoft Fabric .
Strong proficiency in SQL, Python and/or PySpark , with experience in data transformation and processing.
Experience with data integration, ETL/ELT, data migration and data pipeline development .
Experience with REST APIs, OData, custom connectors and/or Microsoft Graph API is preferred.
Strong experience with Power BI , including Dataflows, Semantic Models and DAX.
Experience with Lakehouse architecture, Delta Lake and Bronze/Silver/Gold data architecture is preferred.
Experience working with Oracle Fusion data , particularly Finance, Procurement or HCM modules, is a strong advantage.
Experience with SAP data and enterprise ERP environments is an advantage.
Knowledge of Microsoft Purview, data cataloguing and data lineage is preferred.
Experience working in shared services, group-level or large enterprise/conglomerate environments is preferred.
Certifications:
Azure Data Engineer (DP-203) certification is preferred.
Power BI Data Analyst (PL-300) certification is preferred.
Availability:
Preference will be given to candidates available immediately or within a short notice period upon accepting the offer.
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