Palantir Data Engineer - Manager
Bengaluru · Staff/Principal
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Job description
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data and Analytics team you will architect and maintain data engineering applications that empower our clients to harness their data effectively. As a Manager you will lead teams, mentor junior staff, and secure the successful execution of data projects while collaborating closely with stakeholders to deliver impactful solutions.
Responsibilities
- Architect and maintain data engineering applications
- Guide teams in executing data projects effectively
- Mentor junior staff to enhance their skills and performance
- Collaborate with clients to understand their data needs
- Secure successful project delivery while meeting deadlines
- Analyze data requirements and propose impactful solutions
- Foster a collaborative environment among team members
- Stay updated on industry trends and technologies
What You Must Have
- Bachelor's Degree in computer science, Data Science, or a related field
- 8 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Proven experience in technical leadership
- Demonstrating skills in architecting data pipelines
- Mentoring and developing data engineering teams
- Partnering with stakeholders for technical solutions
- Implementing CI/CD pipelines and data governance
- Understanding advanced data integration tools
- Engaging directly with clients for analytics solutions
- Optimizing performance and computational costs
- Experience in agile project delivery
Travel Requirements
Not SpecifiedJob Posting End Date
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