JobJoinsJobJoins2025-01-17
PwC is hiring for the role of Data Engineer!
Responsibilities of the Candidate:
Invite and give in the moment feedback in a constructive manner.
Share and collaborate effectively with others.
Identify and make suggestions for improvements when problems and/or opportunities arise.
Handle, manipulate and analyse data and information responsibly.
Follow risk management and compliance procedures.
Keep up-to-date with developments in area of specialism.
Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
Build and maintain an internal and external network.
Seek opportunities to learn about how PwC works as a global network of firms.
Uphold the firm's code of ethics and business conduct.
Data Engineering:
Develop, optimize, and maintain data pipelines and workflows to ensure
eƯicient data integration from multiple sources.
Use Python and SQL to design and implement scalable data processing solutions.
Ensure data quality and consistency throughout data transformation and storage processes.
Collaborate with data architects and senior engineers to build data solutions that
meet business and technical requirements. Cloud Technologies
Work with cloud platforms (e.g., AWS, Azure, or Google Cloud) to deploy and maintain data solutions.
Support the migration of on-premise data infrastructure to the cloud environment when needed.
Assist in implementing cloud-based data storage solutions, such as data lakes and data warehouses. Data Visualization
Provide data to business stakeholders for visualizations using tools such as
Power BI, Tableau, or QuickSight.
Collaborate with analysts to understand their data needs and optimize data structures for reporting. Collaboration And Support
Work closely with cross-functional teams, including data scientists and business analysts, to support data-driven decision-making.
Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery.
Document processes, data flows, and infrastructure for team knowledge sharing.
Requirements:
Bachelor’s degree in Computer Science, Data Science, Information Technology, or related fields.
Basic knowledge of cloud platforms and services is advantageous.
Strong communication skills and the ability to work in a team-oriented environment.
0+ years of experience in data engineering, working with Python and SQL.
Exposure to cloud platforms such as AWS, Azure, or Google Cloud is preferred.
Familiarity with data visualization tools (e.g., Power BI, Tableau, QuickSight) is a plus.
