Data Engineer / BI & ETL Developer

Abu Dhabi Department of Economic Development

Abu Dhabi, UAE

Full-time

Mid-Senior

Onsite

Discovered 1 weeks ago

ETL/ELT pipeline designAdvanced SQLData warehousingDimensional modelingPower BIDAX

Free

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Key skills for this role

ETL/ELT pipeline designAdvanced SQLData warehousing

Design, develop, test, deploy, and maintain ETL/ELT pipelines for structured and unstructured data from multiple sources.
Build and optimize data warehouses, data lakes, data marts, and analytical data models using dimensional modeling.
Develop BI dashboards, reports, semantic models, KPIs, and visualizations for operational and strategic analysis.
Write and optimize SQL queries, stored procedures, data transformations, and database objects.
Implement data validation, reconciliation, quality checks, exception handling, logging, monitoring, and alerting.
Ensure data accuracy, lineage, security, performance, availability, and scalability.
Troubleshoot pipeline, database, data model, report, and BI platform failures and performance bottlenecks.
Translate stakeholder reporting and analytics requirements into technical solutions.
Collaborate with architects, administrators, analysts, application teams, security teams, and vendors.
Apply source control, release management, CI/CD, testing, documentation, and change-management practices.
Maintain technical mappings, data dictionaries, architecture diagrams, operating procedures, and support guides.
Support data governance, metadata, access control, privacy, retention, audit, and compliance requirements.

Minimum 5 years of relevant professional experience in data engineering, BI development, ETL/ELT development, analytics engineering, or a related role.
At least 3 years of hands-on experience designing and supporting production ETL/ELT pipelines and analytical data models.
At least 3 years of hands-on experience developing enterprise BI dashboards and reports using Power BI or an equivalent platform.
Experience with advanced SQL, query optimization, data warehousing, dimensional modeling, and multiple data sources.
Experience implementing data-quality controls, monitoring, troubleshooting, performance tuning, and production support.

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