Data Engineer

RISKDATA CONSULTING PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A data consulting firm in Singapore is seeking a motivated Data Engineer with around 5 years of experience. The candidate should be skilled in SQL, have hands-on experience with Spark and Hive, and a strong eagerness to learn in a dynamic environment. This role involves writing complex SQL queries, processing data with Spark, and maintaining Hive workflows.

Qualifications

• 5 years of experience in data engineering or related roles.
• Strong SQL programming skills (mandatory).
• Hands-on experience with Apache Spark and Hive (medium-level proficiency).

Responsibilities

• Write and optimize complex SQL queries for data extraction.
• Work with Apache Spark for data processing and pipeline development.
• Develop and maintain Hive tables, queries, and scripts.

Skills

SQL programming skills

Apache Spark

Hive

Problem-solving

Analytical skills

Education

Bachelor’s degree in Computer Science

Tools

Apache Spark

Hive

Job description

Overview

We are looking for a motivated Data Engineer with around 5 years of experience to join our data team. The candidate should have strong SQL expertise, hands-on experience with Spark and Hive, and a willingness to learn and grow in a dynamic environment.

Responsibilities

• Write and optimize complex SQL queries for data extraction, transformation, and reporting.
• Work with Apache Spark for data processing, aggregation, and pipeline development.
• Develop and maintain Hive tables, queries, and scripts for big data workflows.
• Collaborate with senior engineers to design and optimize data pipelines.
• Ensure data quality, accuracy, and performance across systems.
• Troubleshoot and resolve issues in data processes.

Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5 years of experience in data engineering or related roles.
• Strong SQL programming skills (mandatory).
• Hands-on experience with Apache Spark and Hive (medium-level proficiency).
• Familiarity with data warehousing concepts and ETL processes.
• Good problem-solving and analytical skills.
• Eagerness to learn new tools and technologies.
• Banking domain working experience is highly preferred.