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naukri

Senior Manager | Engineering AI & Data

Deloitte
Riyadh, KSA
Senior
1 months ago
LeadershipStrategic PlanningBudgetingTeam ManagementPerformance ManagementProject Management
Free

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Technical Capabilities

  • Ability to understand business and technical requirements and translate them in custom end to end architecture based on client needs.
  • Ability to understand and modernize traditional data platform architectures with concepts like Agentic AI.
  • Ability to architect an end to end Agentic AI architecture, with the required governance and orchestration architecture components in place.
  • Hands-on proven knowledge on preparing data engineering pipelines using at least one o the tools and platforms such as Informatica, 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 Iceberg, Delta Tables and Hadoop 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.

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

Leadership Capabilities

  • Identifies and embraces our purpose and values and puts these into practice in their professional life
  • Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador
  • Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results
  • Builds relationships and communicates effectively in order to positively influence peers and other stakeholders
  • Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities
  • Excellent communication and people skills, with a strong emphasis on team working
  • Strong administrative and numeracy skills and ability to analyze complex data with good attention to details

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