Job Description

UAE national_Data Engineer Group Technology Corporate Services

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group's entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. Overview of the role As a Data Engineer in our team, you will be responsible for governing solutions, assessing complex new data sources with various SAP and non-SAP source systems, and quickly turning these into business insights-ready data sets. You will participate in new scope & requirements, break-fix work, testing, and support activities to meet the business needs. Implementing appropriate processes to drive high-quality and sustainable solutions will be critical. What you will do

Partner with the product owner, scrum master and solution architect to deliver solutions. Understand the business requirements. Review and analyze business requirements and design technical solutions. Govern the technology implementation of the solution designs. Collaborate with internal and external implementation team members and partners to develop, test, and deploy solutions. Adhere to software development and maintenance standards by thoroughly understanding internal and external development best practices. Estimate and deliver multiple project assignments and system change requests with the required quality according to agreed-upon resourcing and timelines. Analyze structured, semi-structured, and unstructured data sources in detail for quality, completeness, and business value. Govern and implement robust data pipeline using Microsoft toolset and Databricks. Create reusable and scalable data pipelines. Required skills to be successful

Expertise in data ingestion, data processing, and analytical pipelines for big data, relational / non-relational databases, and data warehouse solutions. Experience in designing and hands-on development in cloud-based analytics solutions. Designing and developing warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services. Build workflows using data from various sources, including on-premises databases and external data sources with REST APIs and harvesting tools. Strong analytic skills related to working with unstructured datasets. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. Hands-on experience with Agile software development. Thorough understanding of Azure / AWS Cloud Infrastructure offerings. Expertise in Azure Stream Analytics is desirable. Knowledge of Scala is desirable. What equips you for the role

Relevant 8+ years of experience in Azure and Databricks. Minimum 5+ years of implementation experience from conceptualization to delivery of analytics capabilities on the Azure platform. Bachelor's degree in computer science or an allied field of study. Knowledge of SAP BW/BO, Tableau, Power BI, and Scala will be considered as an added advantage. Certification on Azure platform toolsets will be considered an added advantage. #J-18808-Ljbffr