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Data Engineer - Islandwide, SG

Data Engineer - Islandwide, SG

GOLDTECH RESOURCES PTE LTDIslandwide, SG
25 days ago
Job description

Roles & Responsibilities

Job Summary :

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures that support business analytics, reporting and machine learning initiatives. The ideal candidate will have strong experience with big data technologies, ETL processes and cloud platforms.

Key Responsibilities :

  • Develop, construct, test, and maintain data architectures and pipelines.
  • Design and optimize ETL workflows to ingest data from various sources.
  • Collaborate with data scientists, analysts and business stakeholders to understand data needs.
  • Ensure data quality, integrity and security across platforms.
  • Monitor and troubleshoot data processing issues.
  • Implement data modeling and warehousing solutions.
  • Automate repetitive data engineering tasks and optimize system performance.
  • Maintain documentation of data processes and systems.

Requirements :

  • Bachelor’s degree in Computer Science, Engineering, Information Systems or related field.
  • 3+ years of experience in data engineering or related roles.
  • Strong proficiency in SQL and experience with programming languages such as Python, Scala or Java.
  • Hands-on experience with big data technologies such as Hadoop, Spark, Kafka or similar.
  • Experience with cloud platforms (AWS, Azure, GCP) and their data services (Redshift, BigQuery, Data Factory, etc.).
  • Familiarity with data warehousing concepts and tools.
  • Knowledge of data governance, security, and compliance best practices.
  • Excellent problem-solving and communication skills.
  • Preferred Skills :

  • Experience with workflow orchestration tools like Airflow or Luigi.
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Familiarity with CI / CD pipelines and DevOps practices.
  • Experience in machine learning pipeline integration is a plus.
  • Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

  • Education Level
  • Working experiences
  • Each employment background
  • Reason for leaving each employment
  • Last drawn salary
  • Expected salary
  • Date of availability
  • Tell employers what skills you have

    Machine Learning

    Scala

    Azure

    Big Data

    Data Modeling

    Pipelines

    Hadoop

    ETL

    Data Quality

    Data Governance

    Data Engineering

    SQL

    Python

    Docker

    Java

    Data Warehousing

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