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650

Entry Level Data Analyst jobs in Singapore

Reporting and Analytics Developer/Data Engineer 0951

User Experience Researchers Pte.Ltd

Singapore
On-site
SGD 70,000 - 90,000
8 days ago
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Senior Data Scientist - Risk & Fraud Analytics

P2P

Singapore
On-site
SGD 80,000 - 100,000
8 days ago

Senior Data Scientist, Risk (Risk Strategy)

P2P

Singapore
On-site
SGD 80,000 - 100,000
8 days ago

Service Engineer (Fire Alarm and Fire Sprinkler systems) - SS10

THE SUPREME HR ADVISORY PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
8 days ago

Data Engineer

ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
8 days ago
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Machine Learning Engineer

Apple

Singapore
On-site
SGD 80,000 - 100,000
9 days ago

Machine Learning Engineer - Search (NLP) - Singapore

TIKTOK PTE. LTD.

Singapore
On-site
SGD 125,000 - 150,000
9 days ago

Techno-Functional Project Manager – Data Platforms

TECH-HIRE (S) PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
9 days ago
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Information Technology - Senior Data Scientist (Advanced AI Track)

SINGAPORE AIRLINES LIMITED

Singapore
On-site
SGD 80,000 - 120,000
10 days ago

Senior Data Scientist: Aviation Optimization & OR

SINGAPORE AIRLINES LIMITED

Singapore
On-site
SGD 80,000 - 110,000
10 days ago

Information Technology – Senior Data Scientist (Optimization Track)

SINGAPORE AIRLINES LIMITED

Singapore
On-site
SGD 80,000 - 110,000
10 days ago

Data Engineer - A26026

ACTIVATE INTERACTIVE PTE LTD

Singapore
On-site
SGD 60,000 - 100,000
10 days ago

Regional Audit Manager — Data-Driven Assurance

State Street

Singapore
On-site
SGD 70,000 - 90,000
10 days ago

Senior Data Scientist - Drive Growth with ML & AI

Venture Smarter

Singapore
On-site
SGD 100,000 - 125,000
10 days ago

Data Scientist

Venture Smarter

Singapore
On-site
SGD 100,000 - 125,000
10 days ago

Senior Lead Data Scientist - Advanced Analytics & OR

FedEx Group

Singapore
On-site
SGD 100,000 - 130,000
10 days ago

Lead Data Scientist II

FedEx Group

Singapore
On-site
SGD 100,000 - 130,000
10 days ago

Data Engineer

HELIUS TECHNOLOGIES PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
10 days ago

Senior Data Consultant

SYNITI

Singapore
On-site
SGD 80,000 - 120,000
10 days ago

Senior Data Engineer

ACTIVATE INTERACTIVE PTE LTD

Singapore
On-site
SGD 60,000 - 80,000
10 days ago

Senior Data Engineer - Scalable Pipelines for Public Sector

ACTIVATE INTERACTIVE PTE LTD

Singapore
On-site
SGD 60,000 - 80,000
10 days ago

Data Scientist

Medium

Singapore
On-site
SGD 60,000 - 80,000
10 days ago

Global Head of Data & AI Governance

NOMURA SINGAPORE LIMITED

Singapore
On-site
SGD 120,000 - 150,000
11 days ago

Data Engineer

SHELL INFOTECH PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
11 days ago

Hiring for Data Engineer-Data Brick/ AWS Cloud

PATH INFOTECH PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
11 days ago

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Reporting and Analytics Developer
User Experience Researchers Pte.Ltd
Singapore
On-site
SGD 70,000 - 90,000
Full time
8 days ago

Job summary

A technology firm in Singapore is seeking a highly skilled Big Data Engineer with at least 4 years of experience in big data environments. The ideal candidate will possess strong SQL and data analysis skills and be experienced in Python, ETL tools, and visualization tools such as Tableau. Responsibilities include analyzing data needs, implementing data engineering jobs, and ensuring smooth deployment and operations of IT solutions. The role offers opportunities to work on high-performance, secure systems in hybrid cloud environments.

Qualifications

  • Minimum of 4 years of experience in big data environment.
  • Experience with waterfall/Agile methodology.
  • Strong SQL, data modelling, and data analysis skills.

Responsibilities

  • Analyze client data needs and document requirements.
  • Plan, design and implement data engineering jobs.
  • Develop test plans and scripts for system testing.

Skills

SQL
Data modelling
Data analysis
Python
Pyspark
Linux
ETL tools
SAP BO
Tableau
DevOps deployment
Data virtualization
Hive
Impala
Cloudera Data Platform

Tools

Informatica
Denodo
Job description

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate will have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.

Responsibilities
  • Analyze the clientsdata needs and document the requirements.
  • Refine data collection/consumption by migrating data collection to more efficient channels.
  • Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
  • Develop test plan and scripts for system testing, support user acceptance testing.
  • Build reports and dashboards according to user requirements
  • Work with the clients technical teams to ensure smooth deployment and adoption of new solution.
  • Ensure the smooth operations and service level of IT solutions.
  • Support production issues
What we are looking for
  • Good understanding and completion of projects using waterfall/Agile methodology.
  • Strong SQL, data modelling and data analysis skills are a must.
  • Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
  • Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is must.
  • Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be an advantage.
  • Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
  • Good understanding of analytics and data warehouse implementations.
  • Ability to troubleshoot complex issues ranging from system resource to application stack traces.
  • Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.
  • Passion for automation, standardization, and best practices
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* 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.

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