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PermanentBanqiao, New Taipei
Senior Big Data Engineer (Scala / Spark)Financial information / consumer app · Big Data team · Full-time · Banqiao, New Taipei
The Big Data team at a well-known Taiwanese financial information and consumer app company is hiring a Senior Big Data Engineer to build and own critical data pipelines and a modern data warehouse with Scala/Spark, working closely with data science, marketing, and product teams.
Job Requirements at a Glance
- Salary & compensation
- Salary negotiableBased on experience
- Nature of the role
- Full-time
- Location
- Banqiao District, New TaipeiThe exact location will be shared at the interview
* The above terms are current plans; actual compensation and working conditions will be as confirmed by both parties after the interview.
Job description
Critical data pipelines
- Build and own critical data pipelines
Modern data warehouse
- Build and own a modern data warehouse that supports BI and operational needs across internal teams
Cross-team collaboration
- Work closely with data science, marketing, and product teams to uncover business and user insights from large volumes of data
Requirements
Required
- Hands-on experience with large-scale data platforms / big data engineering
- Hadoop / distributed data processing experience
- Hands-on development experience with Scala, especially for data processing / Spark / big data pipelines
- Have worked on or led large-scale Data Warehouse Architecture + Data Modeling
- Experience with Streaming / Real-time Data Pipelines (e.g., Apache Kafka, Apache Beam, Heron, Spark Streaming)
- Ability to operate and maintain production data pipelines
- Experience using coding agents to assist software development
Preferred qualifications
- Has handled large volumes of data
- Have written Big Data pipelines and custom or structured ETL, and owned their implementation and operation
- Experience with Druid or Apache Flink
- Able to plan data warehouse projects and communicate them to internal teams
Why this opportunity
Data that affects millions of users
The data platform underpins the whole company's product and revenue decisions.
Early team
The team is still taking shape, so your decisions on data architecture will directly shape its future.
How to apply
01
Initial interview with A-Cai, our AI interviewer
02
Confidential initial conversation with a consultant
03
Interview scheduling and agreement on terms
Apply now
The online form takes about 2 minutes, and a Step1ne consultant will contact you as soon as possible.
Interview now with A-Cai, our AI interviewer Or ask us directly on LINE →