SalaryPeak

Data Engineer

LYNEER CORP (SINGAPORE) PTE. LTD.
Singapore 6+ years Posted May 13, 2026

Salary Range

SGD 72,000 - SGD 108,000 /year

SGD 6,000 - SGD 9,000/month

Skills Required

ScalaData AnalysisAnalytical SkillsBig DataPipelinesHadoopProblem SolvingETLData QualityData GovernanceMapReduceData EngineeringSQLComplianceDatabase Design

Job Description

Key Responsibilities

1. Data Pipeline Development

  • Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
  • Implement ETL processes for ingesting, transforming, and storing data from various sources.

2. Data Analysis and Query Optimization

  • Write and optimize complex SQL queries for efficient data retrieval and transformation.
  • Troubleshoot and resolve performance issues in queries and data workflows.

3. Big Data Ecosystem Management

  • Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.
  • Monitor system performance and optimize resource utilization in a distributed environment.

4. Collaboration and Problem Solving

  • Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
  • Provide technical guidance and best practices for data engineering within the team.

5. Automation and Monitoring

  • Develop scripts and tools to automate repetitive tasks and enhance system monitoring.
  • Ensure data quality and consistency through validation and monitoring mechanisms.

6. Documentation and Compliance

  • Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.
  • Ensure compliance with data governance and security policies.

Skills and Qualifications

· Technical Skills:

  • Proficiency in Scala programming and functional programming principles.
  • Strong SQL skills, including query optimization and database design.
  • Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
  • Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

· Problem-Solving:

  • Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

· Communication:

  • Excellentcommunication skills to effectively collaborate with technical and non-technical stakeholders.

· Experience:

  • 6+ years of experience in data engineering,big data technologies, or a similar role.