PwC - Manager - Data Engineering

Role & Responsibilities:

• Designing and implementing scalable data infrastructure and systems to support efficient data processing and analysis.

• Developing and managing data pipelines, integration, and transformation solutions using Azure Databricks and other data engineering platforms.

• Leading teams in the strategic planning and execution of data-driven projects, confirming alignment with client expectations.

• Utilizing advanced technologies such as Apache Hadoop and Apache Airflow to enhance data processing capabilities.

• Overseeing the deployment and optimization of data warehouses, confirming data quality and security.

• Collaborating with business and technology leaders to identify and address data challenges and opportunities.

• Mentoring team members to develop their skills and encourage innovation in data engineering practices.

• Validating data integrity and compliance within analytics frameworks to support informed decision-making.

• Promoting the use of cloud-based analytics platforms like Snowflake and AWS for enhanced insights generation.

• Encouraging a culture of continuous learning and development within the team to adapt to evolving data technologies.

What You Must Have:

• At least a Bachelor's degree.

• At least 8+ years of experience.

• Oral and written proficiency in English required.

What Sets You Apart:

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.

• Demonstrating proficiency in Microsoft Azure Databricks and Snowflake platforms.

• Utilizing advanced data engineering techniques for complex data transformations.

• Excelling in strategic planning and execution within data modernization projects.

• Leading teams in agile environments to deliver data-driven solutions.

• Mentoring junior staff to enhance their data engineering capabilities.

• Embracing technology and innovation to drive client success.