GenAI Big Data Engineer (Financial Services) Manager, Technology Consulting
Ernst and Young2 months ago
Singapore, SingaporeStaff+
Responsibilities
- Participate in large-scale client engagements and contribute to or lead innovative big data solution delivery.
- Understand business and technical requirements, provide subject matter expertise, and implement big data engineering techniques.
- Deploy, manage, administer, configure, and support Hadoop-based components and applications.
- Conduct data discovery, root cause analysis, and remediation recommendations for data quality issues.
- Design and implement data models and work with relational database platforms.
- Explain analysis to stakeholders and translate findings into clear business plans.
- Prioritize and complete multiple complex projects under tight deadlines.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or another related field.
- At least 6 years of relevant experience; candidates with more than 9 years may be considered for a Senior Manager position.
- Understanding or practical experience handling and manipulating semi-structured and unstructured data.
- Deep understanding of big data technologies, concepts, tools, features, functions, and implementation approaches.
- Experience with Java, Python, C#, or C++.
- Experience with ETL tools such as Talend, Informatica, AWS Glue, or Azure Data Factory; hands-on Talend experience is a plus.
- Hands-on experience with HiveQL and familiarity with Kafka, Flume, Sqoop, and Oozie.
- Understanding of entity-relationship data modeling techniques and experience investigating data quality issues.
- Preferred experience designing or implementing physical data models in SQL Server, Oracle, IBM DB2/Netezza, Teradata, or other leading RDBMS platforms.
- Experience with business intelligence or statistical analysis tools and techniques.
- Strong presentation, communication, business relationship, time management, organizational, and problem-solving skills.
- Good understanding of the financial services industry and proficiency with PowerPoint, Word, and Excel.
Benefits
- Continuous learning, coaching, leadership development, and tools to support meaningful impact.
- Diverse and inclusive culture with support for professional growth.
- Client-facing consulting work across Singapore and the APAC region.
Tech Stack
Categories
Data Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.