Data Engineer (Python, Databricks, Up to 6 months VB)
1 week ago
Data Management &TransformationDesigning and developing new data pipelines and managing existing data pipelines that extract data from various busines.....
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
- 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
- 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 send your resume to venessagoh@recruitexpress.com.sg
Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
We regret that only shortlisted candidates will be contacted.
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