Digital, Cloud, Data - Data Engineering Lead (Manager)

Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary At PwC South East Asia Consulting, we help businesses to work smarter and grow faster. We partner with our clients to build effective organisations, innovate and grow, reduce costs, manage risk and regulation and, leverage talent. Our aim is to support businesses in designing, managing and executing lasting beneficial change. PwC’s South East Asia Consulting practice provides a comprehensive range of professional services and experience to deliver large scale, cross territory transformation projects, wherever our clients need us to be – from strategy through to execution. About the Team PwC SEAC’s Digital Cloud Data vision is to create meaningful relationships with our clients by powering the next generation digital enterprise. As a Data Engineering Lead, you'll work as part of a team of problem solvers, helping to solve complex business issues by understanding the business strategy and create the data strategy to execution. PwC Professional skills and responsibilities for this level include but are not limited to: To drive business in the area of Data & AI To be workstream lead in project delivery or be technical project manager in project delivery Review code written by data engineer and to look for optimization Skills development to the juniors Developing proposal with the team and conducting demo / workshop Drive and take ownership for developing connections that help deliver what is best for our people and stakeholders. Influence and facilitate the creation of long-term relationships which add value to the firm. Uphold the firm's code of ethics and business conduct. About You Preferred Knowledge/Skills Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in Engineering design recommendations, including the following areas: Atleast 6 to years of experience in designing data platform, data engineering pipelines, data model and data governance. Have been involved in pre-sales stage to understand requirements, design the solution, proposal making and tender presentation plus demo At least 5 years in handling Databricks related projects. Evaluating cloud application or cloud data platform requirements and make architectural recommendations for implementation, deployment, and provisioning applications. Designing and deploying dynamically scalable, highly available, fault-tolerant, and reliable applications. Leading architectural and engineering reviews of proposed solution Providing seasoned advice on application solutions including assisting with planning and architectural design, development, resolution of technical issues, and application rationalization; and, Must be certified in any of the cloud service provider solution architect Must have completed at least 5 life cycle of Databricks project Mandatory to know and done projects leveraging on PySpark or Spark languages Not available Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date