Data Engineer Power Bi Expert

2 months ago

Dubai, United Arab Emirates ParamInfo Full time
13762-Data Engineer- Power BI Expert Experience: 7-10 Posted: 28 Nov,2023 Location: United Arab Emirates Apply Now Job Title: Data Engineer- Power BI Expert Location: Dubai
JOB PURPOSE: As a Data Engineer specializing in Power BI dashboard development, your primary responsibility will be to design, develop, and maintain visually compelling and user-friendly Power BI dashboards. You will play a pivotal role in translating complex business requirements into actionable insights, ensuring the effective communication of data-driven narratives to key stakeholders. Also an understanding of data modelling, design, and development of the batch and real-time extraction, load, transform (ELT) processes, and the setup of the data integration framework.
Role & Responsibilities: Deep understanding of complex DAX queries and calculations Deep knowledge and understanding of Data modelling and Semantic layer Collaborate with cross-functional teams to understand data requirements and design Power BI solutions that meet business needs. Develop and maintain robust ETL processes to transform and load data into Power BI for efficient reporting and analytics. Create visually appealing and intuitive dashboards using Power BI, ensuring a seamless user experience. Implement best practices for data visualization and maintain a high standard of UI/UX in all dashboard development. Optimize and troubleshoot Power BI reports and dashboards for performance and usability. Stay current with industry trends and advancements in Power BI to continually enhance our reporting capabilities. Work closely with data scientists, analysts, and business stakeholders to gather requirements and deliver actionable insights. 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 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\xe2\x80\x99s 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.
FRAMEWORKS, BOUNDARIES, & DECISION-MAKING AUTHORITY: Operates within the framework and boundaries of policies as well as overall organizational and governance frameworks.
QUALIFICATIONS & EXPERIENCE: Bachelor\xe2\x80\x99s degree in Computer Science, Information Technology, or a related field. Master\xe2\x80\x99s degree is preferred. Total Exp -7-8 years and 4-5 years hands on experience in Power BI Dashboard development Experience in Data Engineering (PowerBI Reporting) is required. Power BI certification is a plus. Dashboard Design and Development Experience with other BI tools and technologies. Familiarity with cloud platforms such as Azure or AWS. Knowledge of SQL, Azure Data Factory, Data Bricks, MS Synapse, Python, or other relevant Tools (Informatica, Data Services, etc.) is a plus. Required Skills Skill Years Months Power BI Report 5 0 Data engineering 7 0 DAX 5 0 Power BI dashboard 5 0 SQL 6 0 Azure Data Factory 6 0 Data Bricks 6 0 extraction, load, transform (ELT) 5 0 Data Modeling 5 0 MS Synapse 6 0 Python 6 0 Informatica 4 0 Data Services 4 0

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