Data Engineer

3 weeks ago

Singapore EPS COMPUTER SYSTEMS PTE LTD Full time
Roles & Responsibilities

Duration: 1 year renewable contract

Working Location: Changi Business Park / Marina Bay Financial Centre

Job Overview

  • We are looking for an experienced and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our growing team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and systems that handle large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities:

  • Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
  • Implement ETL processes to ingest, transform, and store data from various sources.
  • Write and optimize complex SQL queries for efficient data retrieval and transformation.
  • Troubleshoot and resolve performance issues in queries and data workflows.
  • Manage and maintain Hadoop-based data infrastructure, including HDFS, Hive, and related components.
  • Monitor system performance and optimize resource utilization in a distributed environment.
  • Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
  • Provide technical guidance and promote best practices for data engineering within the team.
  • Develop scripts and tools to automate repetitive tasks and improve system monitoring.
  • Ensure data quality and consistency through validation and monitoring mechanisms.
  • Document technical solutions, workflows, and processes to enable knowledge sharing and reproducibility.
  • Ensure adherence to data governance and security policies.

Requirements:

  • 4-6 years of experience in data engineering, big data technologies, or a similar role.
  • Expertise in Scala programming and functional programming concepts.
  • Strong SQL skills, with a focus on query optimization and database design.
  • Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
  • Familiarity with additional big data tools like Spark, Kafka, or Flink is a plus.
  • Strong analytical skills, with the ability to troubleshoot and resolve complex data-related issues.
  • Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders.
Tell employers what skills you have

Excellent Communication Skills
Scala
Analytical Skills
Big Data
Pipelines
Hadoop
ETL
Data Quality
Data Governance
MapReduce
Data Engineering
SQL
Database Design

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