Similar Jobs
Financial Services
Design, build, test, deploy, and maintain scalable, resilient cloud-based data pipelines and microservices (primarily on AWS). Implement ETL/ELT, data lake/warehouse solutions, support analytics integration, enforce data quality, and follow Agile DevOps practices with CI/CD and IaC.
Top Skills:
AirflowAthenaAWSAws Step FunctionsBigQueryContainersDatabricksDbtDockerEksGlueIamKafkaKubernetesLambdaNoSQLPysparkPythonReactRedshiftRestful ApisS3SnowflakeSparkSpark Structured StreamingSQLTerraformTrinoTypescript
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead advanced data analytics and ML initiatives to improve yield, quality, and reliability for HBM products. Develop ML/DL models, build data infrastructure, integrate solutions into disposition workflows, mentor team members, and collaborate cross-functionally to optimize KPIs including quality, cost, cycle time, and scale.
Top Skills:
Cloud TechnologiesCSSDeep LearningHigh Bandwidth Memory (Hbm)HTMLJavaScriptJmpMachine LearningPower BIPythonPyTorchRScikit-LearnSQLTableauTensorFlow
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead data engineering and process-mining initiatives to capture Digital Footprints, generate actionable visualizations and AI-driven optimizations, standardize scalable digital processes across Front-End sites, and track productivity and labor-hour savings via dashboards and cross-functional execution.
Top Skills:
Agile Workload Management System (Awms)Copilot StudioDigital FootprintGenaiExcelMicrosoft PowerpointMicrosoft TeamsPower AutomatePower BIProcess MiningSQLUipath
- Build and optimizing ‘big data’ data pipelines, architectures and data sets.
- Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- To support and develop Data modeling, Implementation activities.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Perform CI/CD Activities, Deployment activities in both cloud and on premises or as required.
- Experience with Data engineering tools (Python, Scala, Hadoop).
- Experience with relational (oracle, MySQL, MS Sql) or NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools.
- Experience with stream-processing systems
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala,etc
- Experience on Cloudera/ Data bricks/ Snowflakes platforms will be added advantage
- Experience with Cloud (Aws, Azure or Google).
Unison Consulting Singapore, Singapore, SGP Office
Singapore, Singapore
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
