Assurance - Financial Markets-Data Engineer

As an Associate, youll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to

We are seeking a highly motivated Data Engineer Associate to join our dynamic team. The ideal
candidate will have a strong foundation in data engineering, particularly with Python and SQL, and
will have exposure to cloud technologies and data visualization tools such as Power BI, Tableau, or
QuickSight. The Data Engineer will work closely with data architects and business stakeholders to
support the design and implementation of data pipelines and analytics solutions. This role o ers an
opportunity to grow technical expertise in cloud and data solutions, contributing to projects that
drive business insights and innovation.
Key Responsibilities
Data Engineering
Develop, optimize, and maintain data pipelines and workflows to ensure e icient 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 onpremise data infrastructure to the cloud environment when
needed.
Assist in implementing cloudbased 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 crossfunctional teams, including data scientists and business analysts,
to support datadriven decisionmaking.
Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery.

Document processes, data flows, and infrastructure for team knowledge sharing.
Required Skills and Experience
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.
Basic understanding of data modeling, ETL processes, and data warehousing concepts.
Strong analytical and problemsolving skills, with attention to detail.
Qualifications
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 teamoriented environment.