Data Engineer/scientist- Perm

1 week ago

Singapore ZENITH INFOTECH (S) PTE LTD. Full time

**ABOUT THE COMPANY**

Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.

**EA Licence No: 20S0237**

**Employment type**:Perm

**Location: Central West**

**Working Hours**:8:30AM to 6:00PM (mon-fri)

**Working Arrangement: OnSite**

We are looking for a **Data Engineer**who is a versatile professional who uses analytical, statistical, and programming skills to collect, analyze, and interpret large datasets to help organizations make data-driven decisions.

**Responsibilities**:

- Work closely with a team of scientists and researchers to concept and iterate on software development
- Develop and deploy data science prototypes, with a focus on bringing machine learning models into production.
- Working with Big Data Tools: Use technologies like Hadoop, Spark, and distributed databases to handle large-scale datasets.
- Work with cloud-based data platforms like AWS, Google Cloud, or Azure for storage, computing, and analysis.
- Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues
- Gather structured and unstructured data from various sources such as databases, web services, APIs, and data streams.
- Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects
- Automate processes and workflows for efficient delivery of data science products via scripting and open source tools.

**Job Requirements**:

- Degree in Computer Science, Computer Engineering or equivalent
- 0-2 years of relevant experience
- Experience in real-world data science projects, internships, hackathons, and personal projects
- Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn,matplotlib, and seaborn
- Knowledgeable in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPIFamiliar with databases (e.g. NoSQL, PostgreSQL, MongoDB) and SQL for data storage and retrieval

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