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The Senior Data Engineer is expected to design, develop, and maintain reliable data pipelines, platforms, and integration solutions for EY’s consulting engagements. Requirements typically include a bachelor’s degree in computer science, engineering, information technology, or a related field; strong experience with SQL, Python, ETL/ELT, databases, data warehousing, and cloud technologies such as Azure, AWS, or Google Cloud. Familiarity with big-data tools, data governance, version control, and Agile delivery is advantageous. EY expects candidates to communicate clearly, solve complex technical problems, work collaboratively with global teams, manage priorities, and deliver secure, scalable, and high-quality data solutions.
EY, formerly Ernst & Young, is a global professional services organization providing assurance, tax, consulting, strategy, and transaction services. Its Global Delivery Services (GDS) teams support EY offices and clients worldwide through technology, analytics, finance, risk, and business operations. The Philippines is an important GDS hub, with offices and talent communities serving international engagements across multiple industries. EY promotes values centered on integrity, inclusiveness, teamwork, and building a better working world. Employees commonly work with multinational teams and gain exposure to large-scale transformation, cloud, data, cybersecurity, and enterprise technology programs. The organization offers structured learning, professional development, and opportunities to work with modern tools and international stakeholders, although project demands and working hours may vary depending on the supported region and client.
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