Search by job, company or skills

Rhino Partners Pte Ltd

Data Engineer (AWS, Denodo, Python, SQL) – Singapore Citizens / PR Only (18 months Contract)

3-5 Years
Save
new job description bg glownew job description bg glow
  • Posted a day ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Rhino Partners is hiring experienced Data Engineers to support the development and maintenance of enterprise data products within a large-scale data platform environment. This role is ideal for engineers who enjoy building robust data pipelines, designing scalable data models, and working with modern AWS-based analytics platforms.

You will work closely with Product Managers, Business Analysts, Data Analysts, and Solution Architects to deliver high-quality, data-driven solutions that support analytics, reporting, and AI initiatives.

Key Responsibilities

Data Engineering & Platform Development

  • Design, develop, and maintain ETL/ELT pipelines using AWS services such as Glue, Athena, S3, and RDS
  • Build and maintain automated data ingestion pipelines from internal and external systems
  • Develop API integrations to collect and process data from third-party sources
  • Perform data extraction, cleansing, transformation, and loading operations
  • Work with data virtualisation tools such as Denodo and develop VQL queries

Data Modelling & Architecture

  • Design conceptual, logical, and physical data models using tools such as ER/Studio
  • Develop and maintain data warehouses, data lakes, operational data stores, and data marts
  • Create analytical views and semantic layers to support BI and reporting needs
  • Maintain enterprise data blueprints and architecture documentation
  • Apply data governance, metadata, and master data management (MDM) best practices

Application Development & Integration

  • Develop Python scripts in AWS Glue for data processing and automation
  • Write efficient SQL and VQL queries, stored procedures, and transformations
  • Build RESTful APIs to expose data services
  • Support machine learning model deployment and integration using AWS SageMaker
  • Optimise database performance through indexing, query tuning, and maintenance

DevOps & Delivery

  • Implement and maintain CI/CD pipelines using GitLab and related tools
  • Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives
  • Conduct peer code reviews and collaborate through pair programming
  • Ensure solutions are secure, scalable, and compliant with enterprise standards

Documentation & Stakeholder Collaboration

  • Produce and maintain technical documentation for pipelines, models, and architecture
  • Work with business and technical stakeholders to gather requirements and deliver solutions
  • Provide technical guidance and support for data-related initiatives

Required Skills & Experience

  • Minimum 3 years of experience in Data Engineering or a similar role
  • Strong hands-on experience with Python and SQL
  • Experience with AWS services including Glue, Athena, S3, RDS, and SageMaker
  • Experience with Denodo or other data virtualisation platforms
  • Strong understanding of data modelling and database design principles
  • Experience building data warehouses, data lakes, and data marts
  • Familiarity with BI tools such as Tableau or Microsoft Power BI
  • Experience with GitLab and CI/CD pipelines
  • Familiarity with Agile/Scrum delivery methodologies
  • Strong analytical, troubleshooting, and communication skills

Nice to Have

  • Experience with AWS Bedrock, Azure AI, or Large Language Models (LLMs)
  • Knowledge of data governance and MDM frameworks
  • Exposure to machine learning deployment workflows

Eligibility Requirements

Due to the sensitive nature of the project, only Singapore Citizens and Singapore Permanent Residents (PRs) are eligible to apply.

Why Join Rhino Partners

At Rhino Partners, we build modern digital products and data platforms for government agencies and enterprise clients across Singapore and Australia. You'll work alongside experienced engineers and architects on meaningful projects involving cloud data engineering, AI, and analytics.

If you enjoy solving complex data challenges and building scalable data products, we'd love to hear from you.

More Info

Job Type:
Industry:
Employment Type:

Job ID: 147876991

Similar Jobs

Singapore, Kallang

Skills:

DenodoPower BiAWS GlueGitlabTableauPythonSqlEr StudioVQLAWS SageMakerCI CD

Singapore

Skills:

amazon emr Amazon RedshiftPysparkAmazon S3AWS GluePythonSql

Singapore

Skills:

MlPythonCloud-native architecturesAiMobile

Singapore

Skills:

S3Oracle SqlPl SqlELTEc2KinesisData ModellingPythonAWSDatabase DevelopmentEmrData ArchitectureData WarehousingRedshiftKubernetesEtlSQL Tuning and optimizationRMicroservices deploymentDevOps practicesContainer orchestrationData ProcessingCI CD pipelinesAthena

Singapore, Cross Street

Skills:

S3PostgreSQLDynamodbEmrRedshiftSqlLambdaMongoDBPythonAWSGlueAthena