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Job Req Id:  298703
Business Area:  Risk Advisory
Date Posted:  27-Jul-2022
City:  Hong Kong

Title:  Senior Consultant / Manager (Data Engineering) - Cyber - Hong Kong

Pursue a Career with Impact

At Deloitte China, we are on a mission to nurture and empower our people to become deep subject matter experts.
We offer the perfect platform to unleash your full potential and equip you to thrive on challenges, and partner with our clients to solve their most complex problems.
A world of opportunities awaits. Start your adventure and journey with us.

About the Business

Risk Advisory objective is to help clients develop and implement strategies for IT risk management and aim to help clients find the appropriate balance between risk management and cost containment. The Cyber Cloud team is to enable clients by building various Cyber Cloud solutions, to achieve clients' business outcomes, overcome security and compliance barriers and enable a rapid shift to cloud. Using Deloitte global knowledge and enabling clients with the Cyber Cloud team to place design principles of automation, orchestration, privacy and data security front and center of cloud migrations.

Work you'll do

This is a critical role in the solution implementation lifecycle cutting across all phases. The ideal candidate should have a deep technical background and possess a strong interest in application/services, to help our clients develop technical expertise and capacity. You will collaborate with cloud service providers and client teams to deliver proof-of-concept projects, conduct workshops, and lead implementation projects. These engagements will focus on key client solutions such as building secure landing zone, cloud migration on server, database/data, web application and enterprise application, DevSecOps, networking, archiving and disaster recovery.

 

You will work towards client business outcomes, ensuring there is a strong connection between delivery activities and business objectives. You will own and complete key tasks and deliverables, and collaborate with others to define and implement optimal, complete solutions based on stakeholders needs.

  • Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).
  • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
  • Establish solid design and best engineering practice for engineers as well as non-technical people.
  • Work with the team to evaluate business needs and priorities, liaise with key business partners and address team needs related to data systems and management.
  • Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components and enhancements.
  • Participate in project planning; identifying milestones, deliverables and resource requirements; tracks activities and task execution.
  • Generate design, development, test plans, detailed functional specifications documents, user interface design, and process flow charts for execution of programming.
  • Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods.
  • Use an analytical, data-driven approach to drive a deep understanding of fast changing business.
  • Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform.
  • Lead the development of advanced quantitative models using a variety of programs/software to support predictive assessments.
  • Provide expertise for analytical, programmatic, strategic, and operational analysis.

#LI-RH

A fit for the role? Let's talk about you.

  • Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field, with 3-5 years working in the relevant industry.
  • Experience with programming languages such as SQL, R, Python.
  • Experience with data visualisation tools, such as Tableau, Qlik, PowerBI, d3.js, or equivalent.
  • Experience with the Big Data Technologies (i.e., Hadoop, Apache Spark).
  • Experience with Extract, Transform, and Load (ETL) activities to support advanced analytics.
  • Familiarity with cloud-based data engineering technologies, across AWS, Azure, GCP.
  • Experience in performing data analysis, data ingestion and data integration.
  • Experience in MongoDB and Azure Databricks.
  • Experience with schema design, data modeling and SQL queries.
  • Passionate and self-motivated about technologies in the Big Data area.
  • Strong data and logical analysis skills.

Why Deloitte China?

Join Deloitte China

Deloitte China delivers a comprehensive range of audit & assurance, consulting, financial advisory, risk advisory and tax services to local, multinational and growth enterprise clients in China.

  • We are the world's largest professional services firm and change the world, leading with purpose and shared values
  • We are the undisputed market leader, creating value through multi-disciplinary services and innovative digital solutions, and developing world-class leaders and professionals
  • We have been named a "Top Employer China"  in the Chinese Mainland, Hong Kong & Macau since 2006, providing a “High Value, High Touch, High Tech” talent experience


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