GenAI Big Data Engineer (Financial Services) Manager, Technology Consulting

Ernst & Young Advisory Services Sdn Bhd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Continuous learning opportunities

Flexible work environment

Transformative leadership

Diverse and inclusive culture

Job summary

A global professional services organization in Singapore is seeking a Data and Analytics professional to engage in large-scale client projects, deliver innovative big data solutions, and analyze data quality issues. Candidates should have a strong background in data engineering and related technologies, along with excellent problem-solving skills. This role offers opportunities for continuous learning and development in a diverse and inclusive environment.

Qualifications

• Min 6 years of relevant experience; 9+ for Senior Manager.
• Experience with Java, Python, C#, or C++. Hands-on with Talend is a plus.
• Familiarity with data ingestion tools.

Responsibilities

• Participation in large-scale client engagements.
• Lead delivery of big data solutions.
• Conduct data discovery and quality analysis.

Skills

Business and technical requirements understanding

Strong presentation skills

Proficiency in PowerPoint, Word and Excel

Understanding of financial services industry

Education

Bachelor or Master’s degree in computer science or related fields

Tools

Hadoop

ETL tools (Talend, Informatica, AWS Glue, Azure Data Factory)

HiveQL

Kafka

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective.

The Opportunity

As part of our Data and Analytics team of Financial Services Consulting practice you will work with multi-disciplinary teams to support clients in a wide range of big data initiatives aiming to generate and present new, useful and actionable insights.

Your Key Responsibilities

• Participation in large-scale client engagements.
• Contribution towards, or even leading, the delivery of innovative and engaging big data solutions.
• Understanding of business and technical requirements, provision of subject matter expertise, and implementation of big data engineering techniques.
• Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
• Putting into practice good organizational and time management skills, with the ability to prioritize and complete multiple complex projects under tight deadlines.

Skills and Attributes for Success

• Leverage technology to continually learn, improve service delivery and maintain our leading-edge best practices
• Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
• Good understanding of financial services industry

To Qualify for the role, you must have

• Bachelor or Master’s degree in computer science, Engineering, or other related fields.
• Minimally 6 years of relevant experience. Candidates with more than 9 years of relevant experience can be considered for Senior Manager position.
• Understanding or even practical experience of handling and manipulating semi-structured and unstructured data.
• Deep understanding of big data technology, concepts, tools, features, functions and benefits of different approaches available.
• Ability to deploy, manage, and administer Hadoop-based components.
• Ability to design, build, install, configure and support Hadoop-based applications.
• Experience with one of Java, Python, C# or C++.
• Experience with ETL tools such as Talend, Informatica, AWS Glue, Azure Data Factory. Hands-on experience with Talend is a plus.
• Hands-on experience with HiveQL.
• Familiarity with data ingestion tools such as Kafka, Flume and Sqoop.
• Knowledge of Hadoop related workflow/scheduling tools such as Oozie.
• Understanding of data modeling (ER models) techniques.
• Experience with investigating and handling data quality issues.

Ideally, you’ll also have

• Design or implementation experience of data models in physical form in one (or more) of the leading RDBMS platforms such as SQL Server, Oracle, IBM DB2/Netezza, Teradata, etc.
• Experience with Business Intelligence or statistical analysis tools and techniques.
• Strong communication and business relationship skills to effectively explain analysis, both verbally and in writing, to others and translate analysis into a clear business plan.
• Strong time management and organizational skills to gather and make use of data (both internal and external).

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY is an equal opportunities employer and welcomes applications from all qualified candidates. We are committed to building a diverse and inclusive workplace and encourage applications from diverse candidates.