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Urgent! Data Engineer Job Opening In Singapore, Singapore – Now Hiring Elliott Moss Consulting Pte. Ltd.



Job description

Job Description

We are looking for a skilled Data Engineer to design, build, and maintain robust data systems that power analytics and decision-making across our organization.

The ideal candidate will work across multiple workstreams, supporting data requirements through reports, dashboards, and end-to-end data pipeline development.

You will collaborate with business and technical teams to translate requirements into scalable, data-driven solutions.

Key Responsibilities

  • Work collaboratively across teams to support data needs including reports, dashboards, and analytics.

  • Conduct data profiling and analysis to identify patterns, discrepancies, and quality issues in alignment with Data Quality and Data Management standards.

  • Design and develop end-to-end (E2E) data pipelines for data ingestion, transformation, processing, and surfacing in large-scale systems.

  • Automate data pipeline processes using Azure, AWS, Databricks, and Data Factory technologies.

  • Translate business requirements into detailed technical specifications for analysts and developers.

  • Perform data ingestion in both batch and real-time modes using methods such as file transfer, API, and data streaming (Kafka, Spark Streaming).

  • Develop ETL pipelines using Spark for data transformation and standardization.

  • Deliver data outputs via APIs, data exports, or visualization dashboards using tools like Power BI or Tableau.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related field.

  • Minimum 4 years of experience in Data Engineering or related roles.

  • Strong technical expertise in:
    Python, SQL, Spark, Databricks, Azure, AWS
    Cloud & Data Architecture, APIs, and ETL pipelines
  • Proficiency in data visualization tools such as Power BI (preferred) or Tableau, including DAX programming, data modeling, and storytelling.

  • Understanding of Data Lakes, Data Warehousing, Big Data frameworks, RDBMS, NoSQL, and Knowledge Graphs.

  • Familiarity with business analysis, data profiling, data modeling, and requirement analysis.

  • Experience working in Singapore public sector, consulting, or client-facing environments is advantageous.

  • Excellent analytical, communication, and problem-solving skills with a collaborative mindset.

Preferred Skills

  • Experience with real-time data streaming (Kafka, Spark Streaming).

  • Understanding of data governance, data quality frameworks, and metadata management.

  • Hands-on experience with automation and CI/CD for data workflows.

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Required Skill Profession

Database, Analytics & Bi



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