Data Management &Transformation

Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
Ensuring compliance with security and governance best practices

Optimization & Automation

Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
Monitoring the platform for credit consumption and housekeeping.
Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

Job Requirements:

Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field
Work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
Work experience in designing and implementing data architectures in Azure cloud services and Databricks.
Strong proficiency in Python (PySpark) and SQL programming experience with Java or Scala is an advantage.
Experience with relational and non-relational databases including SQL and NoSQL is a must while familiarity with legacy databases such as Oracle is preferred.
Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants, please Email, [HIDDEN TEXT]

Fabian Ling Tuong Liing

R25129353

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

Data Engineer (Up to 6 months VB) IFL