2,752
Business jobs in Singapore
Senior Data Engineer (Data Warehouse) - Web3 - Singapore (Hybrid)
Binance
Singapore
Hybrid
USD 80,000 - 120,000
30+ days ago
I want to receive the latest job alerts for “Business” jobs
Senior Data Engineer (Data Warehouse) - Web3 - Singapore
Binance
Singapore
On-site
USD 80,000 - 120,000
30+ days ago
APAC Institutional Cash Equity Operations - Settlements
BTIG
Singapore
On-site
SGD 70,000 - 90,000
30+ days ago
Binance Accelerator Program - Backend Engineer (Big Data)
Binance
Singapore
Hybrid
SGD 70,000 - 90,000
30+ days ago
Service Lead (SA) - Data & Analytics - Technology Consulting
Ernst & Young Advisory Services Sdn Bhd
Singapore
On-site
SGD 80,000 - 120,000
30+ days ago
Business Development Manager (Fiat Channel) - Singapore
Binance
Singapore
Remote
SGD 120,000 - 180,000
30+ days ago
Connect with headhunters to apply for similar jobsProgramme Coordinator / Social Work Associate
Allkin Singapore
Singapore
On-site
SGD 20,000 - 60,000
30+ days ago
Business Operations Manager - Small and Medium Business
TikTok
Singapore
On-site
SGD 70,000 - 90,000
30+ days ago
Product Manager ( Junior)
FLINTEX CONSULTING PTE. LTD.
Singapore
On-site
SGD 77,000 - 129,000
30+ days ago
Backend Software Engineer - TikTok Client Arch
TikTok
Singapore
On-site
USD 60,000 - 120,000
30+ days ago
Binance Accelerator Program - Product Operations (Binance Pay)-Singapore
Binance
Singapore
Hybrid
USD 40,000 - 80,000
30+ days ago
Talent Acquisition Partner - Trust & Safety - APAC
TikTok
Singapore
On-site
USD 60,000 - 100,000
30+ days ago
Assistant Manager / Manager, JSIT-R
SINGAPORE NATIONAL EMPLOYERS FEDERATION
Singapore
On-site
USD 40,000 - 80,000
30+ days ago
Technical Sales Engineer (Battery, Power) - East
Talent Trader Group
Singapore
On-site
SGD 80,000 - 100,000
30+ days ago
Senior, Sales Engineer (DC, Battery, Power Solutions)
Talent Trader Group
Singapore
On-site
SGD 100,000 - 125,000
30+ days ago
Sales Engineer (Battery, DC, Electronics)
Talent Trader Group
Singapore
On-site
SGD 80,000 - 100,000
30+ days ago
HR Recruitment Consultant (Entry level, Training provided)
RECRUITPEDIA PTE. LTD.
Singapore
On-site
SGD 30,000 - 60,000
30+ days ago
Senior Data Engineer (Data Warehouse) - Web3 - Singapore (Hybrid)
Binance
Singapore
On-site
SGD 102,000 - 155,000
Full time
30+ days ago
Job summary
A leading company in the cryptocurrency sector is seeking a Senior Data Engineer to architect and implement a scalable data warehouse. The role involves designing data models, optimizing pipeline performance, and leading data governance initiatives. Candidates should have over 5 years of experience in data solutions and proficiency in programming languages like Java or Python. This position offers a competitive salary and benefits, with a hybrid work arrangement.
Benefits
Competitive salary
Company benefits
Work-from-home arrangement
Qualifications
- 5+ years of hands-on experience in data lakes and data warehouse solutions.
- Deep expertise in data warehouse modeling and governance.
- Proficiency in Java, Scala, or Python with strong Hive & Spark SQL skills.
Responsibilities
- Architect and implement a flexible, scalable data warehouse aligned with business specifications.
- Design, develop, test, deploy, and monitor data models and ETL jobs.
- Lead data governance initiatives, building and maintaining metadata management.
Skills
Data warehouse modeling
Data governance
Analytical skills
System design
Collaboration
Bilingual (English/Mandarin)
Tools
Java
Scala
Python
Hive
Spark SQL
Apache Kylin
Impala
Presto
Druid
Hadoop
Job description
Senior Data Engineer (Data Warehouse) - Web3 - Singapore (Hybrid)
Crypto Jobs
Job Description
About the Job
- Company: Binance
- Role: Full-time
- Mission: Join the world’s largest cryptocurrency exchange and shape the future of the blockchain ecosystem.
- Architect and implement a flexible, scalable data warehouse aligned with business specifications.
- Design, develop, test, deploy, and monitor data models and ETL jobs.
- Troubleshoot complex issues and optimize calculation logic and pipeline performance.
- Lead data governance initiatives, building and maintaining metadata management and data quality monitoring systems.
- Foster technical team growth through mentorship, knowledge sharing, and continuous improvement.
- 5+ years of hands-on experience in data lakes and data warehouse solutions.
- Deep expertise in data warehouse modeling and governance (dimensional modeling, data vault, “one data” principles).
- Proficiency in Java, Scala, or Python, along with strong Hive & Spark SQL programming skills.
- Practical experience with OLAP engines like Apache Kylin, Impala, Presto, Druid.
- Proven track record in building high-throughput batch pipelines on Big Data platforms.
- Familiarity with core Big Data technologies (Hadoop, Hive, Spark, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis).
- AWS Big Data service experience is a plus.
- Strong analytical and system-design capabilities, with the ability to translate business requirements into technical solutions.
- Collaborative mindset, skilled at building partnerships across teams.
- Bilingual in English/ Mandarin (required for coordination with overseas partners and stakeholders).
Preferred Qualifications:
- Experience resolving critical production incidents.
Why Binance:
- Shape the future with the world’s leading blockchain ecosystem.
- Collaborate with world-class talent in a user-centric global organization.
- Work on unique, fast-paced projects with autonomy in an innovative environment.
- Thrive in a results-driven workplace with opportunities for career growth.
- Competitive salary and company benefits.
- Work-from-home arrangement (varies depending on team).
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
Land a better
job faster
job faster
Follow us
