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Senior Data Engineer

Talentsis is a Singapore-based company providing enterprise solutions in the talent and recruitment space.
Data
Senior Software Engineer
In-Person
5+ years of experience
Enterprise SaaS

Description For Senior Data Engineer

Talentsis is seeking a Senior Data Engineer to join their team in Singapore. This role focuses on building and maintaining data infrastructure that powers the organization's analytics and data science initiatives. The position requires a skilled professional with 5+ years of experience who can design scalable data pipelines, optimize data storage solutions, and ensure data quality. The ideal candidate will have strong technical skills in SQL, programming languages like Python or Java, and experience with modern data processing frameworks. This role offers the opportunity to work with cutting-edge data technologies and collaborate with data scientists and analysts to deliver impactful solutions. The position is permanent and based in Singapore, offering a chance to work with a company that values technical excellence and innovation in data engineering.

Last updated 2 months ago

Responsibilities For Senior Data Engineer

  • Design, build, and maintain scalable data pipelines to enable real-time and batch data processing
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions
  • Optimize and enhance data storage solutions, including data lakes and data warehouses
  • Ensure data quality and integrity by implementing appropriate testing and monitoring strategies
  • Conduct data profiling and analysis to improve data structure and accessibility
  • Stay abreast of industry trends and evaluate new data technologies and architectures
  • Participate in architectural reviews and provide input on system design

Requirements For Senior Data Engineer

Python
Java
MongoDB
MySQL
PostgreSQL
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in data engineering or a related role
  • Proficiency in SQL and databases (e.g., MySQL, PostgreSQL, or NoSQL solutions like MongoDB)
  • Experience with data processing frameworks such as Apache Spark or Hadoop
  • Solid understanding of ETL processes and tools (e.g., Airflow, Talend)
  • Familiarity with cloud platforms (AWS, GCP, or Azure) for data management
  • Strong programming skills in Python, Java, or Scala
  • Exceptional analytical and problem-solving abilities
  • Excellent communication skills and a collaborative mindset

Benefits For Senior Data Engineer

  • Permanent role

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