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Data engineer (Contract) - ARGYLL SCOTT CONSULTING PTE. LTD.

Data engineer (Contract) - ARGYLL SCOTT CONSULTING PTE. LTD.

ARGYLL SCOTT CONSULTING PTE. LTD.D01 Cecil, Marina, People’s Park, Raffles Place, SG
4 days ago
Job description

Roles & Responsibilities

Job Summary :

We are seeking a skilled and detail-oriented Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions that transform raw data into actionable insights. You will work with both structured and unstructured datasets, applying advanced data engineering techniques to support data-driven decision-making across the organization.

  • T his is a 12 months contract role to start with.

Key Responsibilities :

  • Design, develop, and implement robust data pipelines and analytics applications to convert raw data into meaningful and usable formats.
  • Utilize data-oriented programming languages and modern visualisation tools to support data integration, transformation, and reporting.
  • Apply advanced techniques such as data mining, data modeling, natural language processing (NLP), and machine learning to analyze and interpret complex datasets.
  • Work with large volumes of structured and unstructured data to uncover patterns, trends, and insights that drive business value.
  • Develop dynamic and interactive data visualisations and dashboards for stakeholders using industry-standard tools (e.g., Power BI, Tableau).
  • Collaborate closely with data scientists, analysts, and business teams to ensure data solutions are aligned with business goals.
  • Ensure data quality, integrity, security, and compliance across all data engineering activities.
  • Maintain documentation of processes, data flow, and system configurations.
  • Required Skills & Qualifications :

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • Proven experience in data engineering, data architecture, or a similar role.
  • Proficient in data-oriented programming languages such as Python, SQL, or Scala.
  • Hands-on experience with big data tools and platforms (e.g., Hadoop, Spark, Kafka).
  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Experience in applying data mining, machine learning, and NLP techniques in real-world applications.
  • Strong skills in data visualisation tools such as Tableau, Power BI, or similar.
  • Solid understanding of database management systems, ETL processes, and data governance best practices.
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP).
  • Familiarity with DevOps and CI / CD practices in data engineering.
  • Knowledge of data security, privacy regulations, and compliance standards.
  • Argyll Scott Consulting Pte Ltd

    Tell employers what skills you have

    Machine Learning

    Azure

    Big Data

    Data Modeling

    Pipelines

    Hadoop

    ETL

    Data Integration

    Data Quality

    Data Engineering

    SQL

    Python

    Data Architecture

    Data Science

    Power BI

    Data Warehousing

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    Data Engineer • D01 Cecil, Marina, People’s Park, Raffles Place, SG

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