Data Engineer- Senior Associate

As a Finance Consulting Generalist at PwC, you will specialize in providing consulting services related to financial management and strategy. You will analyze client needs, develop financial solutions, and offer guidance to help clients optimize their financial performance and achieve their financial goals. Your responsibilities will include: - Providing comprehensive guidance and support to clients in optimizing their financial performance - Improving decision-making processes for clients - Analyzing client needs and developing tailored financial solutions You will be expected to build meaningful client connections, manage and inspire others, deepen technical expertise, and anticipate the needs of your teams and clients. Embracing ambiguity, you will use challenging situations as opportunities for growth. In this role, you will need to possess the following skills: - Respond effectively to diverse perspectives and needs - Utilize tools and methodologies to solve problems - Use critical thinking to break down complex concepts - Understand project objectives and your role in the overall strategy - Develop a deeper understanding of the business context - Interpret data to inform insights and recommendations - Uphold professional and technical standards As a Data Engineer - Senior Associate at PwC, you will be responsible for the following key activities: Data Engineering & Modeling: - Lead the development, optimization, and maintenance of complex data pipelines - Apply advanced SQL and Python to design data processing systems - Develop efficient and scalable database structures - Ensure data quality, accuracy, and security in all data processing stages Cloud Data Solutions: - Work with cloud platforms to design scalable data solutions - Implement cloud-based data storage solutions - Automate and optimize cloud infrastructure Machine Learning & AI Support: - Prepare data for machine learning and AI models - Identify opportunities for predictive analytics and automation Data Visualization: - Provide clean data for visualizations - Collaborate with analysts to meet reporting and analytics needs Collaboration & Leadership: - Mentor junior data engineers - Work with cross-functional teams to align data strategies with business objectives - Troubleshoot and resolve issues in data infrastructure Required Skills And Experience: - 4+ years of data engineering experience - Expertise in Python, SQL, and data modeling - Proficiency in cloud platforms and services - Basic understanding of machine learning and AI principles - Hands-on experience with data visualization tools - Strong problem-solving and analytical skills Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or related fields - Experience in building and optimizing data pipelines in cloud environments - Ability to lead technical discussions and mentor junior team members - Strong communication skills and experience collaborating with cross-functional teams,