Job
Description
Role Overview: You will be working as a Senior Data Engineer at EY, responsible for building and supporting large-scale data architectures to provide information to downstream systems and business users. Your role will involve aggregating and organizing data from multiple sources to streamline business decision-making. You will collaborate closely with Data Engineer Leads and partners to establish and maintain data platforms supporting front-end analytics, contributing insights to Takeda's dashboards and reporting. Key Responsibilities: - Develop and maintain scalable data pipelines following ETL principles, using AWS/Azure native technologies for increasing data source, volume, and complexity. - Define data requirements, gather and mine data, validate data tool efficiency in the Big Data Environment. - Lead evaluation, implementation, and deployment of emerging tools and processes to enhance productivity. - Implement systems to provide accurate data to key stakeholders, downstream systems, and business processes. - Collaborate with Business Analysts and Solution Architects to develop technical architectures for enterprise projects. - Coordinate with Data Scientists to understand data requirements and design solutions enabling advanced analytics. - Mentor and coach junior Data Engineers on data standards and practices, fostering a culture of learning and growth. Qualifications Required: - Bachelor's degree in engineering, Computer Science, Data Science, or related field. - 5-9 years of experience in software development, data engineering, ETL, and analytics reporting. - Experience in building and maintaining data integrations using dimensional data modeling and optimized ETL pipelines. - Proficiency in Data Engineering Programming Languages (Python, SQL), Distributed Data Frameworks (Spark), Cloud platform services (AWS/Azure), and Relational Databases. - Hands-on experience with Spark Structured Streaming for real-time ETL pipelines. - Strong organizational skills, problem-solving abilities, and excellent written and verbal communication skills. - Ability to work in a fast-paced environment and adapt to changing business priorities. Additional Details: EY aims to build a better working world by creating long-term value for clients, people, and society while building trust in the capital markets. Enabled by data and technology, diverse EY teams across 150+ countries provide assurance and help clients grow, transform, and operate in various sectors including assurance, consulting, law, strategy, tax, and transactions. EY teams strive to ask better questions to find innovative solutions for complex global issues. Role Overview: You will be working as a Senior Data Engineer at EY, responsible for building and supporting large-scale data architectures to provide information to downstream systems and business users. Your role will involve aggregating and organizing data from multiple sources to streamline business decision-making. You will collaborate closely with Data Engineer Leads and partners to establish and maintain data platforms supporting front-end analytics, contributing insights to Takeda's dashboards and reporting. Key Responsibilities: - Develop and maintain scalable data pipelines following ETL principles, using AWS/Azure native technologies for increasing data source, volume, and complexity. - Define data requirements, gather and mine data, validate data tool efficiency in the Big Data Environment. - Lead evaluation, implementation, and deployment of emerging tools and processes to enhance productivity. - Implement systems to provide accurate data to key stakeholders, downstream systems, and business processes. - Collaborate with Business Analysts and Solution Architects to develop technical architectures for enterprise projects. - Coordinate with Data Scientists to understand data requirements and design solutions enabling advanced analytics. - Mentor and coach junior Data Engineers on data standards and practices, fostering a culture of learning and growth. Qualifications Required: - Bachelor's degree in engineering, Computer Science, Data Science, or related field. - 5-9 years of experience in software development, data engineering, ETL, and analytics reporting. - Experience in building and maintaining data integrations using dimensional data modeling and optimized ETL pipelines. - Proficiency in Data Engineering Programming Languages (Python, SQL), Distributed Data Frameworks (Spark), Cloud platform services (AWS/Azure), and Relational Databases. - Hands-on experience with Spark Structured Streaming for real-time ETL pipelines. - Strong organizational skills, problem-solving abilities, and excellent written and verbal communication skills. - Ability to work in a fast-paced environment and adapt to changing business priorities. Additional Details: EY aims to build a better working world by creating long-term value for clients, people, and society while building trust in the capital market
