Data Engineer

Please find the details below

Position : Data Engineer

Location : Dubai

Experience requirement : 3+ Years

Joining Date : Immediate to 30 days 

Job Description

  . JOB PURPOSE: 

 To be responsible for data modelling, design, and development of the batch and real-time extraction, load, transform (ELT) processes, and the setup of the data integration framework, ensuring best practices are followed during the integration development.

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2. KEY ACCOUNTABILITIES: 

 Functional Accountabilities 

•  Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 
•  Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
• Design a data warehouse data model based on the business requirements. 
• Design, develop, and test both batch and real-time Extract, Load and Transform (ELT) processes required for the data integration. 
• Optimize ELT processes to ensure execution time is meeting the requirements. 
• Manage Ingest of both structured and unstructured data into DAMAC's data lake/data warehouse system. 
•  Assess the data quality of the source systems and propose required enhancements to achieve a satisfying level of data accuracy. 
• Process, cleanse, and verify the integrity of data used for different business analyses. 
• Create automated data quality detection systems and constant tracking of its performance. 
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work as part of the analytics team on many initiatives with the different departments within the company. Collaborative problem solving, sophisticated design, and the creation of quality products is essential. Policies, Systems, Processes & Procedures 
• Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner. 
• Demonstrate compliance to the organization's values and ethics at all times to support the establishment of a value-driven culture within the organization. Continuous Improvement 
• Contribute to the identification of opportunities for continuous improvement and sustainability of systems, processes, and practices considering global standards, productivity improvement, and cost reduction. Reporting
•  Assist in the preparation of timely and accurate statements and reports to meet department requirements, policies, and quality standards. 

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2. FRAMEWORKS, BOUNDARIES, & DECISION-MAKING AUTHORITY:

•   Operates within the framework and boundaries of DAMAC policies as well as overall organizational and governance frameworks. 

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2. QUALIFICATIONS & EXPERIENCE:

Minimum Qualification 

•  Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree is preferred. Minimum Experience 
• 3+ years of experience in Data Engineering.
• Extensive Knowledge of SQL, Azure Data Factory, Data Bricks, MS Synapse, Python, or other relevant Tools (Informatica, Data Services, etc.) 
•  Knowledge of developing real-time and close-to-real-time data integrations by using Kafka, MS Event Hubs  

If interested please fill the details below and revert back with your updated CV (with a passport size photo inserted in the resume) on 

• 1. Total Experience
• 2.  How many years of Experience do you have in  Data Engineering ?
• 3.  How many years of Experience do you have in SQL?
• 4. How many years of Experience do you have in Azure data Factory?
• 5.  How many years of Experience do you have in  Data Bricks?
• 6.  How many years of Experience do you have in  MS Synapse?
• 7.  How many years of Experience do you have in Python?
• 8.   How many years of Experience do you have in Kafka?
• 9.   How many years of Experience do you have in MS Events Hubs?
• 10. Notice period
• 11. Current location
• 12. Current company name
• 13. Current salary
• 14. Expected salary

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2. Marriage Status-
3. Passport Expiry Date-