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Nityo Infotech Hiring! Full Time Data Engineer in - Ricebowl

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

We’re Hiring | Data Engineer | Singapore

Are you passionate about building scalable data platforms, modern analytics pipelines, and cloud-based data solutions? We are looking for a talented Data Engineer to join a growing data and analytics team supporting enterprise-scale data initiatives in Singapore.

Location: Singapore

Employment Type: Full-Time

Salary: Up to SGD 7,000/month

Experience Required: 3–5 Years

Eligibility: Singapore Citizens Only.

Start Date: Immediate / Notice Period Considered


About the Role

As a Data Engineer, you will play a key role in designing, building, and optimizing scalable data pipelines and analytics platforms. You will work closely with Data Scientists, Analysts, and business stakeholders to enable data-driven decision-making through robust and reliable data infrastructure.

This role is ideal for someone with strong Python and SQL expertise, modern data architecture knowledge, and experience working with cloud-based analytics environments.


Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows

• Build and optimize modern data platforms including Data Lakes, Data Warehouses, and Lakehouse architectures

• Develop reliable data ingestion, transformation, and orchestration processes

• Implement data quality checks, governance standards, metadata management, and lineage tracking

• Collaborate with business stakeholders and analytics teams to understand requirements and deliver technical solutions

• Work with structured and unstructured datasets across cloud and enterprise environments

• Optimize SQL queries, data models, and processing workflows for performance and scalability

• Support cloud-based data processing and analytics initiatives using AWS and Databricks

• Troubleshoot complex data platform issues and improve operational efficiency

• Contribute to DevOps and Infrastructure-as-Code practices for analytics platforms


Must-Have Skills

3–5 years of Data Engineering or Data Analytics experience

Strong Python programming skills

Experience with pandas, numpy, and data processing libraries

Strong SQL and database management expertise

Hands-on experience building data pipelines and ETL/ELT workflows

Good understanding of modern data architecture concepts

Experience with Data Lake, Data Warehouse, Data Lakehouse, or Data Mesh architectures

Strong analytical and problem-solving capabilities

Excellent stakeholder communication and collaboration skills


Preferred / Bonus Skills

Experience with Databricks platform

AWS cloud services experience

Exposure to Infrastructure-as-Code and DevOps practices

Experience with data governance, lineage, and metadata management

Knowledge of GIS platforms such as ArcGIS

Experience with geospatial APIs, routing engines, or 2D/3D mapping technologies


What We Offer

Competitive salary package up to SGD 7,000/month

Opportunity to work on enterprise-scale data transformation initiatives

Exposure to modern cloud and analytics technologies

Collaborative and innovation-driven team culture

Career growth and continuous learning opportunities


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Interested or know someone perfect for this role?

Let’s connect!

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+************* 2521 | WhatsApp: +************* 2521


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