Data Engineer (Perm role with VB, Azure DevOps, Python, Databricks, up to $9k)

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We are hiring and the details of the position are: Job title: Data Engineer (Perm role with VB, Azure DevOps, Python, Databricks, up to $9k) Office Location: Raffles Place Candidate will report to the Data and Analytics Lead Job Responsibilities 1. 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. 2. 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. 3. Collaboration • Working with data lead and business users to manage data as a business asset. • Guiding the business users to create and maintain reports and dashboards. Job Requirements • Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; Master’s degree preferred. • At least 5-6 years of 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. • At least four years of 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. • Align with and demonstrate core values, which are Integrity; Teamwork; Accountability; Agility; and Ambition. Interested applicants please send your resume to [email] Jane Ng Wei Ling R1104585 Recruit Express Pte Ltd EA License No: 99C4599 We regret that only shortlisted candidates will be contacted

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