Senior Data Engineer

ZENITH INFOTECH (S) PTE LTD.; Singapore; Presencial; SGD 78.000 - 100.000; Jornada completa

Descripción de la vacante

Zenith Infotech (S) Pte Ltd. invites an experienced data engineer to lead end-to-end data warehouse, data lake, or data store initiatives in Singapore.

You will translate business analytics needs into scalable, secure data solutions from architecture through deployment. The role requires at least 5 years in data engineering or warehousing, strong ETL and data integration skills, and excellent stakeholder communication to ensure reliable data delivery for analytics and reporting.

Formación

• Bachelor's degree in IT, CS, or related field.
• At least 5 years of data engineering or data warehousing experience.
• Proven experience delivering end-to-end data warehouse, data lake, or data store solutions.
• Strong knowledge of data engineering concepts, architecture, and best practices.
• Hands-on ETL, data pipelines, and data integration experience.
• Excellent planning, communication, and stakeholder management.

Responsabilidades

• Lead design and implementation of the Domain Group Data Store as the central data source.
• Design architectures for data warehouse, data lake, or data store to support analytics requirements.
• Develop and maintain data pipelines and ETL processes consolidating data from platforms and internal sources.
• Lead data replication and integration to ensure data availability, quality, and reliability.
• Collaborate with project teams to enable data sharing and enrichment for analytics.
• Engage stakeholders to translate data requirements into effective data collection, storage, and integration solutions.

Conocimientos

Data engineering

Data warehousing

Data lake

ETL

Data integration

Data architecture

Cybersecurity

Stakeholder management

Independent work

Educación

Bachelor's Degree

Descripción del empleo

Company Overview

Zenith Infotech (S) Pte Ltd, founded in 1997, provides expert IT professionals and solutions to enhance productivity for clients including large IT firms, consulting organizations, system integrators, government agencies, and MNCs.

Key Hiring Emphasis

We are looking for a candidate who can independently design, lead, and implement an end-to-end Data Warehouse, Data Lake, or Data Store solution, with strong expertise in data engineering, data architecture, ETL, and data integration. The candidate should be capable of translating business and analytics requirements into scalable, secure, and reliable data solutions, from architecture and design through development, implementation, and ongoing enhancement.

Job Responsibilities

• Lead the design, development, and implementation of the Domain Group Data Store as the central source for data collection, storage, integration, and distribution.
• Design and implement data warehouse, data lake, or data store architectures to support data archival, sharing, and analytics requirements.
• Design, develop, and maintain data pipelines and ETL processes to consolidate data from national platforms and internal data sources.
• Lead data replication and integration initiatives to ensure data availability, consistency, quality, and reliability.
• Collaborate with project teams to facilitate data sharing, enrichment, and distribution for application development and analytics.
• Engage stakeholders to understand data requirements and translate them into effective data collection, storage, and integration solutions.

Job Requirements

• Degree in IT, Computer Science, Computer Engineering, or an equivalent qualification.
• At least 5 years of experience in data engineering, data warehousing, or data lake development.
• Proven experience in designing, leading, and implementing at least one end-to-end data warehouse, data lake, or data store solution.
• Strong knowledge of data engineering concepts, tools, architecture, and best practices.
• Hands-on experience in data warehouse design, ETL technologies, data pipeline development, and data integration.
• Good foundational knowledge of:
• Database technologies and data modelling
• Data sharing and integration technologies
• Cybersecurity and data protection
• Strong planning, coordination, communication, and stakeholder management skills.
• Excellent problem-solving abilities, with the capacity to take ownership and work independently from solution design through implementation.

Employment Details

• Location: Central West, Singapore
• Working Hours: 8:30AM to 6:00PM (Mon-Fri)
• Salary: $ 7000 - 9000 per month
• Working Arrangement: Full Onsite
• Qualification: Bachelor's Degree