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Data Engineer

SPRINGFIELD CONSULTING PTE. LTD.

Singapore

On-site

SGD 70,000 - 90,000

Full time

Today
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Job summary

A consulting firm in Singapore is seeking a skilled Data Engineer to design and maintain efficient data pipelines, integrate multiple data sources, and work with cloud platforms. The ideal candidate will have over 5 years of experience, strong skills in SQL and programming languages, and a solid understanding of data warehousing and ETL processes.

Qualifications

  • Proven experience of 5-6+ years as a Data Engineer or in a similar role.
  • Strong programming skills in Python, Java, or Scala preferred.
  • Familiarity with data warehousing concepts and technologies.

Responsibilities

  • Design, build, and maintain efficient, scalable data pipelines.
  • Integrate data from multiple sources ensuring accuracy.
  • Develop and optimize ETL processes for large datasets.

Skills

SQL
Data modeling
ETL processes
Python
Data privacy
Problem-solving

Education

Bachelor’s degree in computer science or related field

Tools

AWS
GCP
Azure
PostgreSQL
Hadoop
Spark
Kafka
Airflow
Job description
Key Responsibilities:
  • Design, build, and maintain efficient, reliable, and scalable data pipelines.
  • Integrate data from multiple data sources, ensuring accuracy and consistency.
  • Develop and optimize ETL (Extract, Transform, Load) processes for large datasets.
  • Implement data models and structures that enable efficient querying and reporting.
  • Work with cloud platforms (AWS, GCP, Azure) to manage data storage and processing solutions.
  • Collaborate with data scientists and analysts to understand data requirements and provide high-quality datasets.
  • Troubleshoot and optimize data workflows and processes.
  • Ensure data privacy and security standards are maintained.
Required Qualifications:
  • Bachelor’s degree in computer science, Engineering, Mathematics, or a related field.
  • Should have proven experience of 5-6+yrs as a Data Engineer or in a similar role, with a strong portfolio of work.
  • Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, NoSQL, MySQL).
  • Strong programming skills in Python, Java, or Scala would be preferred.
  • Experience with big data technologies like Hadoop, Spark, or Kafka.
  • Experience working with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with data warehousing concepts and technologies (e.g., Redshift, Snowflake).
  • Knowledge of data pipeline orchestration tools like Airflow, Prefect, or Dagster.
  • Understanding of data modeling, ETL processes, and data integration.
  • Strong problem-solving skills and attention to detail.
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