135 Data Warehouse jobs in Singapore

Qualifications
Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.
Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.
Experience with
databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)
data interrogation techniques (e.g. SQL, NoSQL).
structured and unstructured data analytics.
statistical computing programming language (e.g. R, Python).
data quality tools and processes.
data transformation and terminology equivalence mapping.
Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).
Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.
Exposure to the development, evolution and adherence to the architectures relevant to the domain.
Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).
The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
Familiarity or experience with health informatics would be preferred.
An understanding of healthcare data governance, data acquisition and data management would be an advantage.
Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.
Cloud Exposure (AWS)
Strong knowledge and practical experience with AWS.
Familiarity with modern cloud application architecture.
Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.
Experience with setting up load balancers, cloud networks, and virtual servers.
Infrastructure as code (IAC): Cloud formation, terraform.
AWS identity and access management, integration with active directory.
Familiarity with security and access control measures to control privileged access to test and production environment.
Certification in AWS Cloud Practitioner or AWS Architect.
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1. Degree/master’s in computer science, Information Technology, Computer Engineering or equivalent.
2. Minimum eight (8) years’ experience in providing data warehouse or advanced analytics solutions.
3. Experience with

• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores, data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

1. Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
2. Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
3. Experience with data acquisition tools (e.g., ETL, real-time data capture, and change data capture).
4. Thorough understanding of ML, data analysis, data visualization, and event-driven architecture.
5. Exposure to the development, evolution and adherence to the architectures relevant to the domain.
6. Ability to work with a wide variety of report generation software (e.g. Power BI, Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled reports).
7. The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
8. Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
9. Familiarity or experience with health informatics would be preferred.
10. An understanding of healthcare data governance, data acquisition and data management would be an advantage.
11. Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

1.1.1 Cloud Exposure (AWS):

1. Strong knowledge and practical experience with AWS.
2. Familiarity with modern cloud application architecture.
3. Exposure to cloud managed services and microservices like Function as a Service, Containers, and managed databases.
4. Experience with setting up load balancers, cloud networks, and virtual servers.
5. Infrastructure as code (IAC): Cloud formation, terraform.
6. AWS identity and access management, integration with active directory.
7. Familiarity with security and access control measures to control privileged access to test and production environment.
8. Certification in AWS Cloud Practitioner or AWS Architect.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.

The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.

Key responsibilities include:

• Designing and implementing data architectures to support business objectives.
• Developing and maintaining complex models using machine learning algorithms.
• Analyzing large datasets to identify trends and insights.

Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.

In addition to technical skills, strong communication and collaboration skills are essential for success in this role.

Job Role: Data Analysis Professional

As a Data Analysis Professional, you will be responsible for collecting and reviewing data to inform business decisions. You will utilize various data analysis tools such as Excel, ACL, and Tableau to perform audits and provide actionable insights.

• Data Collection and Review


• Audit Planning and Execution


• Analysis of Audit Findings


• Identification of Issues and Suggestions for Process Improvements


• Support in Finalizing Audit Reports and Gathering Management Responses

• Background in Accounting or Business Studies


• Proficiency in Microsoft Excel

Why This Role?

This is an excellent opportunity for those interested in data analysis and audit work. You will have the chance to develop your skills in data collection, review, and analysis, as well as contribute to improving processes within the organization.

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).
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Job Responsibilities

1. Strategic Planning & Business Enablement

2. Develop and implement group-level business intelligence (BI) and data insights strategies, establish a data-driven decision-making system, and drive business growth and operational efficiency improvement.

3. Gain deep insights into automotive smart technology industry trends, identify data value points, and deliver actionable data solutions for product development, supply chain optimization, marketing, and other business units.

2.Data Governance & Compliance

• Establish enterprise-level data governance frameworks to ensure data quality, security, and compliance with China's Data Security Law and Personal Information Protection Law (PIPL).

• Develop data asset management systems and promote cross-departmental data standardization and sharing mechanisms.

• Business Insights & Decision Support

• Generate high-value insight reports through in-depth analysis of user behavior, market trends, and competitor data to support executive-level strategic decision-making.

• Design and monitor core business metrics (e.g., user conversion rates, supply chain costs, product lifecycle), and build real-time visual dashboards.

Job Requirements

1. Bachelor's degree or above.

2. Technical Expertise: Proficient in BI tools (Tableau/Power BI/Superset), SQL/Python/R, familiar with big data ecosystems (Hive/Spark/Kafka) and cloud platforms (AWS/Azure/Alibaba Cloud).

3. Industry Experience: Hands-on experience in data-driven insights within automotive, smart hardware, or advanced manufacturing sectors, with familiarity in scenarios like connected vehicles, user profiling, and supply chain optimization.

4. Cultural Fit

5. Align with ECARX's mission of "Reshaping Automotive Intelligence"; demonstrate entrepreneurial spirit and a global mindset.

6. Proficient in English as a working language.

Job Responsibilities

1. Strategic Planning & Business Enablement

- Develop and implement group-level business intelligence (BI) and data insights strategies, establish a data-driven decision-making system, and drive business growth and operational efficiency improvement.

- Gain deep insights into automotive smart technology industry trends, identify data value points, and deliver actionable data solutions for product development, supply chain optimization, marketing, and other business units.

2.Data Governance & Compliance

- Establish enterprise-level data governance frameworks to ensure data quality, security, and compliance with China's Data Security Law and Personal Information Protection Law (PIPL).

- Develop data asset management systems and promote cross-departmental data standardization and sharing mechanisms.

3. Business Insights & Decision Support

- Generate high-value insight reports through in-depth analysis of user behavior, market trends, and competitor data to support executive-level strategic decision-making.

- Design and monitor core business metrics (e.g., user conversion rates, supply chain costs, product lifecycle), and build real-time visual dashboards.

Job Requirements

1. Bachelor's degree or above.

2. Technical Expertise: Proficient in BI tools (Tableau/Power BI/Superset), SQL/Python/R, familiar with big data ecosystems (Hive/Spark/Kafka) and cloud platforms (AWS/Azure/Alibaba Cloud).

3. Industry Experience: Hands-on experience in data-driven insights within automotive, smart hardware, or advanced manufacturing sectors, with familiarity in scenarios like connected vehicles, user profiling, and supply chain optimization.

4. Cultural Fit

- Align with ECARX's mission of "Reshaping Automotive Intelligence"; demonstrate entrepreneurial spirit and a global mindset.

5. Proficient in English as a working language.