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**Job Title**:Senior Data Engineer - Client Technology Platform**Job Rank (must note a single rank only for each job description)**:Assistant Director**Function**:CT - Shared Business Platforms**Scope (indicate either "global/cross-border" or "local/country")**:Global**Sub Function**:Data and Analytics**Reports to (Job Title)**:Job Summary:EY is a global leader in assurance, tax, transaction and advisory services.
Technology is at the heart of what we do and deliver at EY.
Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.Fueled by strategic investment in technology and innovation,
Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale.
As part of Client Technology, you'll work with technologists and business experts, blending EY's deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise.
As a catalyst for change and growth, you'll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY.
That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.Key Responsibilities:- Leading the production of high-quality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team- Leading the design, development and implementation of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes within a given project,
reviewing deliverables to ensure high quality- Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality- Evaluating and resolving issues regarding data quality reviews, cleansing, data integration and migration, leveraging advanced technical knowledge and showing technical leadership in aspects of data engineering while driving continuous improvement efforts- Providing a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place to deliver the project- Analyzing the latest industry trends such as cloud computing and distributed processing and inferring potential impact on businesses (short and long-term)- Providing advanced technical expertise to maximize efficiency, reliability and value from current data engineering processes
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