Data Engineer

5 days ago


Singapore KS Talent Solutions Full time

**Main responsibilities**:

- Design and implement our Data and AI central data platform as well as related tools/systems for advanced business analytics and enterprise data governance
- Build and maintain enterprise cloud data warehouse
- Migrate existing in-house systems into cloud.
- Manage data modeling design, writing, and optimizing ETL jobs
- Deliver and manage in-house and cloud-native data solutions to meet business requirements across firm-wide business units
- Assist in creating and monitoring analytics dashboards, for different business functions
- Ensure quality, integrity and accuracy of datasets through tracked, secured and auditable controls
- Work with stakeholders to assist with data-related technical issues and support their data needs.

**Requirements**:

- Core Python/ PySpark skills, including: PySpark for Databricks, Spark context understanding and pipeline implementation in PySpark Python scripting. Django/Flask framework knowledge., Python-based API, and Azure function writing., JSON & Parquet/Delta format schema understanding; Databricks SQL
- Azure Databricks knowledge: workspace, notebook, code repos management (Bitbucket), Azure DevOps experience
- Great coding skills on Python and SQL, with solid understanding of object-oriented analysis and design.
- Working knowledge of common algorithms and data structures, with strong analytical and problem-solving skills
- Basic understanding and experience with ML/AI concepts (e.g., deep learning, deep reinforcement learning, deep Bayesian learning), workflows, and toolsets (Jupyter Notebook, etc.), and libraries (Numpy, Pandas, Scikit Learn, PyTorch, etc.) preferably in both cloud-native and desktop deployments.
- Demonstrated ability to understand, work with and deliver robust solutions in more than one programming language, framework, technology stack, runtime environment, etc.


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