Azure Databricks - Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• •Analyse and identify the linkages and interactions between the component parts of an entire system.
• •Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• •Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• •Develop skills outside your comfort zone, and encourage others to do the same.
• •Effectively mentor others.
• •Use the review of work as an opportunity to deepen the expertise of team members.
• •Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

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 Engineering team you lead the implementation of innovative Azure Databricks solutions that drive business success. As a Manager, you are accountable for overseeing project execution, mentoring junior staff, and leveraging your strategic planning skills to enhance team performance and client satisfaction. This role offers the chance to work with cutting-edge technologies, collaborate with diverse teams, and make a significant impact on large-scale Data & AI programs.

Responsibilities

• •Lead data engineering projects utilizing Azure Databricks
• •Develop data pipelines and architecture for analytics solutions
• •Mentor team members in data engineering recommended practices
• •Collaborate with clients to understand their data needs
• •Analyze data sets to derive actionable insights
• •Maintain project deliverables to meet quality and timeline expectations
• •Drive innovation through the adoption of new technologies
• •Manage stakeholder communications and project updates

What You Must Have

• •Bachelor's Degree
• •8 years of experience in data engineering
• •Oral and written proficiency in English required

What Sets You Apart

• •BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
• •Experience in designing and implementing Azure Data Analytics solutions
• •Proficiency in Azure Databricks and Spark architecture
• •Utilizing big data technologies for scalable solutions
• •Leading cross-functional teams for project delivery
• •Demonstrating hands-on experience with Microsoft Data Platform
• •Knowledge of Application DevOps tools and CI/CD frameworks
• •Understanding of Data Modeling and Data Architecture
• •Business knowledge in Financial Services, Healthcare, or Technology

Travel Requirements

Not Specified

Job Posting End Date