Analytics Engineer (AWS)

🏢 DXC Technology
📍 United Arab EmiratesFull-timeOn-site
📅 Posted: 2d ago🔄 Updated: 2d ago
CV%
✨ AI Summary
DXC Technology is seeking an experienced Analytics Engineer for their Dubai office. This role involves building scalable data models, developing analytics solutions, and delivering business insights using AWS data services. Key responsibilities include data modeling, BI & reporting using Tableau, and data engineering with Python and AWS services like Redshift, Athena, S3, and Glue. The ideal candidate will possess advanced SQL skills, a strong understanding of data modeling concepts, and hands-on experience with various AWS data tools. A minimum of 3 years of experience in analytics engineering or related fields, with at least 2 years of Python experience, is required.
Required Skills
Other
Boto3
Requirements
The ideal candidate will have strong SQL, Tableau, Python, and AWS data platform experience, with at least 3 years of experience in Analytics Engineering, BI, Data Analytics, or Data Engineering. Minimum 2+ years of hands-on Python experience (Pandas, Boto3) and experience working with large-scale enterprise datasets are required.
Description
Analytics Engineer (AWS)Location: UAEJob SummaryWe are looking for an experienced Analytics Engineer to build scalable data models, develop analytics solutions, and deliver business insights using AWS data services. The ideal candidate will have strong SQL, Tableau, Python, and AWS data platform experience.Key ResponsibilitiesData Modeling & AnalyticsDesign and maintain scalable data models for reporting and analytics.Query and transform large datasets using AWS services including Redshift, Athena, S3, and Glue.Develop optimized SQL queries, views, and datasets for analytical reporting.Build and maintain star schemas, SCDs, and incremental data models.BI & ReportingDevelop interactive dashboards and reports using Tableau.Create semantic layers, metric definitions, and business-friendly datasets.Deliver executive-level reporting and operational performance insights.Support self-service analytics capabilities across the business.Data Engineering & Cloud IntegrationDevelop and maintain ETL pipelines using Python.Work with AWS data services to manage data ingestion, transformation, and reporting.Ensure data accuracy, performance, and governance across analytics platforms.Collaboration & SupportWork closely with business stakeholders to understand reporting requirements.Translate business needs into scalable analytics solutions.Support ongoing enhancements and optimization of analytics platforms.Experience3+ years of experience in Analytics Engineering, BI, Data Analytics, or Data Engineering.Strong experience developing Tableau dashboards and reports.Minimum 2+ years of hands-on Python experience (Pandas, Boto3).Experience working with large-scale enterprise datasets.Technical SkillsAdvanced SQL including:Window FunctionsQuery OptimizationPerformance TuningPartitioning StrategiesStrong understanding of:Data ModelingStar Schema DesignSlowly Changing Dimensions (SCD)Columnar Data Formats (Parquet, ORC)Hands-on experience with:Amazon RedshiftAmazon AthenaAmazon S3AWS GlueAWS IAMNice to HaveAWS Step Functions experience.Experience with AWS Data Exports and Cost & Usage Reporting.Knowledge of IoT or device telemetry analytics.Tableau or AWS certifications.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00