Financial Markets- Data Engineer

As a Finance Consulting Generalist at PwC, your role involves providing comprehensive guidance and support to clients in optimizing their financial performance, improving decision-making, and achieving their financial goals. You will analyze client needs, develop financial solutions, and offer tailored recommendations. Your work will require a broad understanding of various aspects of finance consulting, contributing to the success of both clients and the team. Key Responsibilities: - Develop, optimize, and maintain data pipelines and workflows for efficient data integration from multiple sources. - Design and implement scalable data processing solutions using Python and SQL. - Ensure data quality and consistency throughout data transformation and storage processes. - Collaborate with data architects and senior engineers to build data solutions meeting business and technical requirements. - Work with cloud platforms (e.g., AWS, Azure, or Google Cloud) for deploying and maintaining data solutions. - Support migration of on-premise data infrastructure to cloud environments when necessary. - Provide data to business stakeholders for visualizations using tools like Power BI, Tableau, or QuickSight. - Collaborate with analysts to understand data needs and optimize data structures for reporting. - Work closely with cross-functional teams to support data-driven decision-making. - Troubleshoot and resolve issues in the data pipeline while ensuring timely data delivery. - Document processes, data flows, and infrastructure for team knowledge sharing. Qualifications: - Bachelor's degree in Computer Science, Data Science, Information Technology, or related fields. - 0+ years of experience in data engineering with proficiency in Python and SQL. - Exposure to cloud platforms like AWS, Azure, or Google Cloud 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 problem-solving skills with attention to detail. - Strong communication skills and ability to work in a team-oriented environment.,