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 decision-making 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 cross-functional teams to understand business requirements and translate them into technical solutions.
• Assist in the design, development, and testing of data analytics algorithms, models, and applications.
• 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.
• Assist in performance monitoring, optimization, and troubleshooting of data analytics applications.
• 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.
• At least 2 years of experience
• 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 problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.