Data Engineer - Dubai, United Arab Emirates - Dautom

    Dautom background
    Description

    ClientIntroduction:

    In this role youwill have the opportunity to work closely with one of our esteemedclients. This client is a global leader in the Real Estate industryknown for its commitment to quality and innovation. They havechosen Dautom as their trusted partner for their upcomingprojects.

    Job Title:Data Engineer

    JobPurpose:

    As a Data Engineerspecializing in Power BI dashboard development your primaryresponsibility will be to design develop and maintain visuallycompelling and userfriendly Power BI dashboards. You will play apivotal role in translating complex business requirements intoactionable insights ensuring the effective communication ofdatadriven narratives to key stakeholders. Also an understanding ofdata modelling design and development of the batch and realtimeextraction load transform (ELT) processes and the setup of the dataintegration framework.

    KeyResponsibilities:

    • Deepunderstanding of complex DAX queries andcalculations
    • Deep knowledge and understandingof Data modelling and Semanticlayer
    • Collaborate with crossfunctional teams tounderstand data requirements and design Power BI solutions thatmeet business needs.
    • Develop and maintainrobust ETL processes to transform and load data into Power BI forefficient reporting and analytics.
    • Createvisually appealing and intuitive dashboards using Power BI ensuringa seamless user experience.
    • Implement bestpractices for data visualization and maintain a high standard ofUI/UX in all dashboard development.
    • Optimizeand troubleshoot Power BI reports and dashboards for performanceand usability.
    • Stay current with industrytrends and advancements in Power BI to continually enhance ourreporting capabilities.
    • Work closely with datascientists analysts and business stakeholders to gatherrequirements and deliver actionableinsights.
    • Build the infrastructure required foroptimal extraction transformation and loading of data from a widevariety of data sources using SQL and big datatechnologies.
    • Design a data warehouse datamodel based on the businessrequirements.
    • Design develop and test bothbatch and realtime Extract Load and Transform (ELT) processesrequired for the data integration.
    • Optimize ELTprocesses to ensure execution time is meeting therequirements.
    • Manage Ingest of both structuredand unstructured data into data lake/data warehousesystem.
    • Assess the data quality of the sourcesystems and propose required enhancements to achieve a satisfyinglevel of data accuracy.
    • Process cleanse andverify the integrity of data used for different businessanalyses.
    • Create automated data qualitydetection systems and constant tracking of itsperformance.
    • Build analytics tools that utilizethe data pipeline to provide actionable insights into customeracquisition operational efficiency and other key businessperformance metrics.
    • Work as part of theanalytics team on many initiatives with the different departmentswithin the company. Collaborative problem solving sophisticateddesign and the creation of quality products isessential.

    QUALIFICATIONS&EXPERIENCE:

    MinimumQualification

    • Bachelorsdegree in Computer Science Information Technology or a relatedfield. Masters degree ispreferred.

    MinimumExperience

    • 3 years ofexperience in Data Engineering (PowerBIReporting).
    • Power BI certification is aplus.
    • Dashboard Design andDevelopment
    • Experience with other BI tools andtechnologies.
    • Familiarity with cloud platformssuch as Azure or AWS.
    • Knowledge of SQL AzureData Factory Data Bricks MS Synapse Python or other relevant Tools(Informatica Data Services etc.) is aplus.

    Benefits andPerks:

    • Competitivesalary and bonus structure.
    • Comprehensivehealth and wellness benefits.
    • Opportunities forprofessional development and growth.
    • Flexiblework arrangements including remote workoptions.
    • Employee recognition programs and acollaborative teamenvironment.

    Remote Work :

    No