- Singapore
Kerja Sepenuh Masa Data Engineer (Python - SQL - AWS) #10480, Gaji tinggi SGD 4,500 di ANRADUS PTE. LTD. - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Job Description
Industry/ Organization Type: Marine Equipment Wholesaler
Position Title: Data Engineer (Python / SQL / AWS)
Working Location: Tuas West
Working Hours: 5 days (Mon – Fri, 9:00 AM – 5:30 PM (One Sat per month, 9:00 AM – 12:00 PM))
Salary Package: Basic Salary + Bonus
Duration: Permanent Role
Key Responsibilities
Maintain data pipelines for equipment monitoring.
Process shipboard sensor data.
Develop and test ETL/ELT pipelines.
Support AWS S3, RDS, Lambda, and Glue.
Handle SQL, databases, and data quality.
Develop Python/SQL APIs for AI/ML and web applications.
Monitor and optimise data pipelines.
Prepare technical documents and test reports.
Collaborate with data engineers.
Perform other ad-hoc duties.
APPLY NOW!!!
Diploma/Degree in Computer Science, Data Science, IT, or related fields.
Strong Python and SQL skills for databases, data processing, and APIs.
Knowledge of ETL/ELT, data integration, and optimisation.
Experience with pandas, NumPy, MySQL, or PostgreSQL.
Familiar with AWS S3, RDS, Lambda, and Glue through projects or internships.
Able to use AI coding tools with code review and testing.
Familiar with Linux and scripting.
Knowledge of Docker, Airflow, or real-time data streaming is an advantage; training provided.
Kindly apply through ANY of the following methods:
Submit your application by clicking the APPLY button;
Email your resume to ************* Please indicate #10480 on the email subject.
Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.
Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781
Industry/ Organization Type: Marine Equipment Wholesaler
Position Title: Data Engineer (Python / SQL / AWS)
Working Location: Tuas West
Working Hours: 5 days (Mon – Fri, 9:00 AM – 5:30 PM (One Sat per month, 9:00 AM – 12:00 PM))
Salary Package: Basic Salary + Bonus
Duration: Permanent Role
Key Responsibilities
Maintain data pipelines for equipment monitoring.
Process shipboard sensor data.
Develop and test ETL/ELT pipelines.
Support AWS S3, RDS, Lambda, and Glue.
Handle SQL, databases, and data quality.
Develop Python/SQL APIs for AI/ML and web applications.
Monitor and optimise data pipelines.
Prepare technical documents and test reports.
Collaborate with data engineers.
Perform other ad-hoc duties.
APPLY NOW!!!
Diploma/Degree in Computer Science, Data Science, IT, or related fields.
Strong Python and SQL skills for databases, data processing, and APIs.
Knowledge of ETL/ELT, data integration, and optimisation.
Experience with pandas, NumPy, MySQL, or PostgreSQL.
Familiar with AWS S3, RDS, Lambda, and Glue through projects or internships.
Able to use AI coding tools with code review and testing.
Familiar with Linux and scripting.
Knowledge of Docker, Airflow, or real-time data streaming is an advantage; training provided.
Kindly apply through ANY of the following methods:
Submit your application by clicking the APPLY button;
Email your resume to ************* Please indicate #10480 on the email subject.
Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.
Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781
Peringatan Penting
Jangan pernah kongsikan maklumat bank atau kad kredit anda semasa memohon pekerjaan. Elakkan membuat sebarang pembayaran atau mengisi survey yang tidak berkaitan. Jika ada yang mencurigakan, sila laporkan iklan pekerjaan ini segera.
Lebih Lanjut