Data Engineer, Big Data (18-months contract)

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading data solutions company in Singapore is seeking an experienced Data Engineer to design and maintain scalable data pipelines and analytics solutions. The role involves collaborating with stakeholders to translate data requirements into robust data models and ETL pipelines, ensuring data quality and security. Candidates should have over 5 years of experience in data engineering, strong SQL skills, and familiarity with big data technologies and cloud platforms. This is an 18-months contract position.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Experience with big data technologies like Hadoop, Spark, Hive.
• Strong SQL expertise and knowledge of Python and/or Java.

Responsibilities

• Design and maintain ETL pipelines for large-scale datasets.
• Analyze complex data and deliver insights through BI dashboards.
• Collaborate with stakeholders to translate business requirements.

Skills

Big data technologies

SQL expertise

Python

Java

Data modeling

ETL design patterns

Cloud data platforms

BI tools

Tools

Hadoop

Spark

Hive

GCP

AWS

Azure

Tableau

Power BI

Looker

Job description

This is an 18-months contract.

As a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics solutions to support business decision-making. You will work closely with business and technical stakeholders to translate data requirements into robust data models, ETL pipelines, and BI dashboards, while ensuring data quality, security, and governance.

Responsibilities

• Design and maintain ETL pipelines and data models for large-scale datasets
• Analyze complex data and deliver insights through BI dashboards and reports
• Collaborate with stakeholders to translate business requirements into technical solutions
• Build and maintain CI/CD pipelines for data platforms
• Ensure data quality, security, and compliance
• Troubleshoot data issues and optimize pipeline performance

Requirements

• Experience with big data technologies (e.g. Hadoop, Spark, Hive)
• 5+ years of experience in data engineering or related roles
• Strong SQL expertise; experience with Python and/or Java
• Solid understanding of data warehousing, ETL design patterns, and data modeling
• Experience with cloud data platforms (e.g. GCP, BigQuery, AWS, Azure)
• Familiarity with BI tools (Tableau, Power BI, Looker)