LocationDubaiConsulting - AI & Data - Data Engineer Senior ConsultantWorking for DeloitteWhen you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. Looking for a rewarding career? Take a closer look at Deloitte & Touche ME. You\'ll understand that Deloitte is a global leader in Data and Analytics amongst service providers (according to Gartner). It has received numerous awards in the last few years which include Best Employer in the Middle East, best consulting firm, and the Middle East Training & Development Excellence Award by the Institute of Chartered Accountants in England and Wales (ICAEW).A career in consulting with Deloitte & Touche Middle East will engage your skills as a strategist, giving you a key role in the planning, growth and structure of businesses. However, we are not simply looking for people who know how to think, but who can display a deep understanding of business and industry and who can work collectively as a team to translate this understanding into deliverable solutions. For this reason, consulting at Deloitte requires specialist skills that embrace areas such as strategy, operations, financials, people management and technology. If you like a challenge and the opportunity to make a positive difference in the business world, we will provide you with a professional environment geared to your growth and helping you achieve excellence in this field.Our PurposeDeloitte makes an impact that matters. Every day we challenge ourselves to do what matters most-for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.Our shared values guide the way we behave to make a positive, enduring impact:
Integrity
Outstanding value to markets and clients
Commitment to each other
Strength from cultural diversity
Technical Capabilities:
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).
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 architects, 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.
Functional Capabilities:
Produce a high-quality work product and collaborate with others to deliver a superior client experience.
Understand 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.
Select 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
Organize 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
Apply a global and diverse perspective to problem solving
Address 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
Required Qualifications:
Undergraduate or Postgraduate Degree in Computer Science, Mathematics, or other Science Major
3-6 years of hands-on Data Engineering experience designing and implementing data engineering pipelines, ETL frameworks, physical data models (dimensional and relational), data pipeline orchestration and other data engineering related activities as per technical capabilities on the previous section.
Good command of written and spoken English
Ability to handle multiple task and responsibilities in a deadline-oriented environment and flexible work hours
Willingness to travel across GCC region (50-75% of time)
Additional Preferred Qualifications:
Experience in Big Four or Global System Integrators is a plus.
Arabic language is a plus.
Professional Certification in any of the above-mentioned tools or platforms will be a plus.