Data Engineer

Project description

Luxoft is looking for an experienced and motivated Data Engineer who will be based in the Singapore office. The role will work closely with account management, the services team, and collaborate with the product teams. He/She will join a team of experienced consultants and participate in the implementation and support of the application, the installation of new modules and features, and oversee the installation, configuration, and workflow definition and optimization using NeoXam's cutting-edge data management platform, DataHub.

Responsibilities

• Accountable for high-impacting and challenging implementation projects, and acquire a global vision of the business processes at the world's top financial firms.
• Provide best practice guidance to clients by leveraging technical expertise, NeoXam DataHub software knowledge, and industry experience.
• Design, configure, and implement NeoXam's DataHub software solutions based on client requirements. Manage the overall design and configuration activity by ensuring the team follows configuration/scripting/design guidelines.
• Identify and resolve any installation and implementation problems to the client's satisfaction within established time frames.
• Analyze the clients' needs, accompany and coach their teams, and/or take charge of the product implementation, meet clients' requests, manage client relations, and coordinate the project.
• Provide project management leadership under the responsibility of the Account Manager or Project Director.
• Develop and conduct product training workshops for clients.
• Provide presales consultancy by assisting the sales teams with presentations, Proof of Concept, implementation expertise, etc.

SKILLS

Must have

• Engineering or Business school, Master's degree or equivalent.
• Up to 7-8 years of experience in data engineering/data modeling space.
• Banking/Capital Markets domain experience is mandatory.
• Hands-on coding experience in scripting languages like Shell, Bash, Python, VB, JavaScript. Candidate should be able to adapt to new programming languages.
• Previous project experience with involvement in multiple stages of the project life cycle.
• Independent, with own initiative and good interpersonal skills, and concerned about the quality of service provided.
• Proactive and a real team player.
• Excellent communication skills (verbal and written).

Nice to have

• Experience with RDBMS, Data Modeling, and SQL language.
• Understanding of Enterprise Data Management and ETL techniques and processes.
• Previous experience with financial data provider feeds such as Bloomberg, Refinitiv, ICE, and others.
• Knowledge of financial instruments such as Equities, Fixed Income, and Derivatives.