Ability to understand business and technical requirements and translate them in custom end to end architecture based on client needs.
Led a minimum of 2 technical implementations of data platforms.
Hands-on proven knowledge on preparing data engineering pipelines using at least one o the tools and platforms such as Informatica, SSIS, Talend, Pentaho, T-SQL, Python, Spark, or any other cloud hyperscaler (AWS, Azure, GCP, Oracle OCI).
Hands-on experience with SQL like databases is a must. Hands-on experience with Hadoop, MapR or NoSQL databases will be plus.
Hands-on experience in designing and maintaining physical data models for data warehouses (dimensional models) or operational databases (relational models).
Hands-on experience in designing and implementing real time / event-based data engineering pipelines is a plus.
Hands-on experience in designing and implementing data ingestion pipelines from various data sources such as APIs, Web Services, Databases, Streams, Files, Object Storage etc.
Hands-on experience on designing and implementing slowly changing dimensions will be a plus.
Hands-on experience in orchestrating multiple data engineering pipelines based on data source and business needs.
Hands-on experience in designing and managing the end-to-end deployment of data engineering pipelines using appropriate DevOps practices and tools.
Proven experience in conducting data source analysis, source to target mapping and transformation rule design and definition.
Ability to collaborate with data scientists, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.
Hands-on experience in applying data quality frameworks and rules within data engineering pipelines will be a plus.
Ability to conduct performance tuning and optimization of data processing and analytics workflows to maximize efficiency and scalability.
Produces a high-quality work product and collaborate with others to deliver a superior client experience.
Understands how business functions operate and how sector trends impact a client’s business
Identifies opportunities to improve the efficiency and effectiveness of key processes within a business function.
Selects appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy.
Maintains composure through conflict and sensitive situations, escalating issues to engagement/account leadership when appropriate
Organizes insights and define a logical flow to tell a story when presenting recommendations
Applies awareness of global trends to address client needs and enhance recommendations
Applies a global and diverse perspective to problem solving
Addresses client business challenges in the intersection of process and technology
Understands the broader business environment and how analytics can support the client’s overall strategic initiatives
Recognizes the appropriate analytical techniques to address the client challenge and applies rigor to all analytical models
إخلاء المسؤولية: د.جوب هو مجرد منصة تربط بين الباحثين عن عمل وأصحاب العمل. ننصح المتقدمين بإجراء بحث مستقل خاص بهم في أوراق اعتماد صاحب العمل المحتمل.
نحن نحرص على ألا يتم طلب أي مدفوعات مالية من قبل عملائنا، وبالتالي فإننا ننصح بعدم مشاركة أي معلومات شخصية أو متعلقة بالحسابات المصرفية مع أي طرف ثالث. إذا كنت تشك في وقوع أي احتيال أو سوء تصرف، فيرجى التواصل معنا من خلال تعبئة النموذج الموجود على الصفحة اتصل بنا