Senior Associate Data Engineering

Role Overview: At PwC, as a Data Engineering / Senior Associate with 5-8 years of experience, you will play a crucial role in leading data engineering engagements. Your primary responsibility will be to design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python. Additionally, you will lead and manage a team of data engineers, collaborate with cross-functional teams to deliver high-quality data solutions, ensure data quality, integrity, and security, and implement best practices for data engineering. Your role will also involve staying up-to-date with industry trends, working closely with stakeholders to understand business needs, and managing project timelines, resources, and budgets effectively. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python. - Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management. - Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. - Ensure data quality, integrity, and security across all data engineering projects. - Implement best practices for data engineering including code reviews, testing, and documentation. - Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing. - Work closely with stakeholders to understand business needs and translate them into technical requirements. - Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects. Qualifications Required: - Proven track record of designing and building scalable data pipelines and architectures. - Hands-on experience with data processing and transformation. - Strong understanding of data warehousing concepts and ETL processes. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues. - Strong leadership and team management skills. - Effective communication skills both written and verbal. Additional Details: At PwC, you will be part of a vibrant community that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work environment powered by technology enables you to make a tangible impact in the real world. We provide inclusive benefits, flexibility programs, and mentorship to help you thrive in both work and life. PwC believes in providing equal employment opportunities without discrimination and strives to create an environment where every individual can bring their true selves and contribute to personal and firm growth. (Note: Additional details section includes information about the company culture and values, not directly related to the job role) Role Overview: At PwC, as a Data Engineering / Senior Associate with 5-8 years of experience, you will play a crucial role in leading data engineering engagements. Your primary responsibility will be to design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python. Additionally, you will lead and manage a team of data engineers, collaborate with cross-functional teams to deliver high-quality data solutions, ensure data quality, integrity, and security, and implement best practices for data engineering. Your role will also involve staying up-to-date with industry trends, working closely with stakeholders to understand business needs, and managing project timelines, resources, and budgets effectively. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python. - Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management. - Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. - Ensure data quality, integrity, and security across all data engineering projects. - Implement best practices for data engineering including code reviews, testing, and documentation. - Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing. - Work closely with stakeholders to understand business needs and translate them into technical requirements. - Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects. Qualifications Required: - Proven track record of designing and building scalable data pipelines and architectures. - Hands-on experience with data processing and transformation. - Strong understanding of data warehousing concepts and ETL processes. - Excellent problem-solving skills and the ability to troubleshoot complex technical issues. - Strong leadership and team management skills. - Effective communication skills both written and verbal. Additional Details: At PwC, you will be part of a vibrant community that leads with trust and creates distinct