JonDavidson
1 year ago
Data Engineer (Banking)
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Company information
- Company
- JonDavidson
- Location
- Singapore Singapore
- Posted
- 1 year ago
Job description
Data Engineer
Note:
• Build and maintain robust data pipelines for complex data projects with / without AI component:
o programmatically ingesting data from different static and real-time sources (incl. web scraping)
o define optimized schemas and data models for scalable implementation of a solution
o log granular usage of web / mobile apps for comprehensive product analytics
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
Technical skill requirements
• Expert in Python programming especially handling large volumes of data both in traditional and distributed environments - pandas, numpy, scikitlearn, pySpark
• Well versed with structured (SQL) and unstructured (noSQL) database in traditional and Big data environments (Hive, Spark)
• Well versed with concepts like like containerization (Dockers, Kubernetes, Openshift), workflow management (AirFlow), streaming data (Kafka or Spark Streaming), CICD pipeline (Jenkins)
• Experienced in shell scripting and writing schedulers
• Some experience with Cloud deployment (AWS / Azure / GCP) would be a big plus
• Strong knowledge of data security best practices
• And most importantly, you must be a passionate coder who really cares about building apps that can help us do things better, smarter, and faster
Job Qualification
• 5+ years’ experience in data engineering role
• Ability to take ownership and deliver within timelines
• Effective written and verbal communication skills
We invite you to write in to Kevin at [email protected] , with your updated CV (in MSWord format). We regret to inform only selected candidates will be notified. However, if you are not selected, we will keep your CV and contact you for suitable role(s) that comes along.
Kevin Chong
DID: +65-62957159
EA Reg No. R1109670
EA License No. 08C470
Note:
- 2-3 years of Banking project experience in big data engineering projects
- Strong hands-on experience in Python and SQL / NoSQL
• Build and maintain robust data pipelines for complex data projects with / without AI component:
o programmatically ingesting data from different static and real-time sources (incl. web scraping)
o define optimized schemas and data models for scalable implementation of a solution
o log granular usage of web / mobile apps for comprehensive product analytics
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).
Technical skill requirements
• Expert in Python programming especially handling large volumes of data both in traditional and distributed environments - pandas, numpy, scikitlearn, pySpark
• Well versed with structured (SQL) and unstructured (noSQL) database in traditional and Big data environments (Hive, Spark)
• Well versed with concepts like like containerization (Dockers, Kubernetes, Openshift), workflow management (AirFlow), streaming data (Kafka or Spark Streaming), CICD pipeline (Jenkins)
• Experienced in shell scripting and writing schedulers
• Some experience with Cloud deployment (AWS / Azure / GCP) would be a big plus
• Strong knowledge of data security best practices
• And most importantly, you must be a passionate coder who really cares about building apps that can help us do things better, smarter, and faster
Job Qualification
• 5+ years’ experience in data engineering role
• Ability to take ownership and deliver within timelines
• Effective written and verbal communication skills
We invite you to write in to Kevin at [email protected] , with your updated CV (in MSWord format). We regret to inform only selected candidates will be notified. However, if you are not selected, we will keep your CV and contact you for suitable role(s) that comes along.
Kevin Chong
DID: +65-62957159
EA Reg No. R1109670
EA License No. 08C470
Required skills
- kafka
- docker
- sql
- etl
- data modeling
- ai
- python
- aws
- kubernetes
- jenkins
- big data
- data engineer
- airflow
- hive
- spark
- gcp
- azure
- nosql
- shell scripting
- web scraping
- pyspark
- openshift
- ml
- banking
- containerization
- data pipelines
- product analytics
- statistical analysis
- data security
- pandas
- numpy
- cicd
- cloud deployment
- spark streaming
- dl
- real-time data
- scikitlearn
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