The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
This is a global leader in assurance, tax, transaction, and consulting services. With a commitment to building a better working world, they empower their people and clients to solve their toughest challenges. Their technology consulting practice helps organizations leverage the latest innovations to drive transformation and achieve their business goals.
GenAI Big Data Engineer (Financial Services) Manager, Technology Consulting
Your Key Responsibilities
Participates in large-scale client engagements.
Contributes towards, or even leads, the delivery of innovative and engaging big data solutions.
Understands business and technical requirements, provides subject matter expertise, and implements big data engineering techniques.
Conducts data discovery activities, performs root cause analysis, and makes recommendations for the remediation of data quality issues.
Puts 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
Leverages technology to continually learn, improve service delivery and maintain leading-edge best practices.
Possesses strong presentation skills and proficiency in the use of PowerPoint, Word, and Excel.
Demonstrates a good understanding of the financial services industry.
To Qualify for the role, you must have
A Bachelor’s or Master’s degree in computer science, Engineering, or other related fields.
A minimum of 6 years of relevant experience. Candidates with more than 9 years of relevant experience may be considered for a Senior Manager position.
Understanding or even practical experience of handling and manipulating semi-structured and unstructured data.
A deep understanding of big data technology, concepts, tools, features, functions, and benefits of different approaches available.
The ability to deploy, manage, and administer Hadoop-based components.
The 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.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
No Liability: SpringCube is not liable for inaccuracies.
Save
