Assistant Development Engineer - Singapore - NodeFlair

NodeFlair
NodeFlair
Verified Company
Singapore

3 weeks ago

Wei Jie

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Wei Jie

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Description

Job Summary:


Salary
S$3,500 - S$8,000 / Monthly EST


Job Type
Permanent


Seniority
Junior


Years of Experience
Information not provided


Tech Stacks
TensorFlow play Analytics R Matplotlib Pandas PyTorch NumPy Spark kafka SQL Hadoop Python

  • As an Assistant Development Engineer specializing in data analytics, you will play a key role in supporting the design, development, and deployment of data analytics solutions to drive business insights and decisionmaking processes. Working closely with our team of engineers and data scientists, you will contribute to the development of algorithms, models, and data pipelines to extract, transform, and analyze large volumes of structured and unstructured data. You will also be responsible for assisting in the integration of analytics solutions into existing systems and platforms, ensuring scalability, reliability, and performance.

The responsibilities of this role include:

  • Collaborate with crossfunctional teams to understand business requirements and translate them into technical solutions.
  • Implement data processing pipelines using programming languages such as Python, R, or SQL.
  • Conduct exploratory data analysis and visualization to uncover insights and trends within complex datasets.
  • Support the deployment and integration of analytics solutions into production environments.
  • Stay updated on the latest trends and advancements in data analytics technologies and methodologies

Qualifications:


  • Diploma Holders in Computer Science, Engineering, Statistics, Mathematics, or related field.
  • Strong programming skills in languages such as Python, R, or SQL.
  • Proficiency in data manipulation, analysis, and visualization using tools such as Pandas, NumPy, Matplotlib, or Tableau.
  • Familiarity with machine learning techniques and libraries such as scikitlearn, TensorFlow, or PyTorch.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.
  • Excellent problemsolving skills and attention to detail.
  • Strong communication and collaboration abilities.
  • Ability to work effectively in a fastpaced and dynamic environment.

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