Data Engineer | Azure Data | In house

RANDSTAD PTE. LIMITED
To apply, It will be great if you could share your CV to hoonteck.tan@randstad.com.sg. Alternatively, you can apply at https://lnkd.in/getAjTw4
About the company
Our client is an established MNC with over 30 years of experience who is a market leader within their industry. As part of their plan to invest in technology, they are now hiring an experienced Data Engineer to join their team.
About the job
Skills and experience required
As a successful applicant, you will have proven track record in designing and implementing robust data pipelines and ETL/ELT frameworks. Strong expertise in data warehouse design methodologies and data modeling.
Proven track record in Azure Data Factory is required for this role.
Whats on offer
This is an excellent opportunity to join an established company with heavy investments in Data.
To apply, It will be great if you could share your CV to hoonteck.tan@randstad.com.sg. Alternatively, you can apply at https://lnkd.in/getAjTw4(EA: 94C3609/ R1219669)
- Permanent role with Europe MNC with high job stability
- Large scale Data project
About the company
Our client is an established MNC with over 30 years of experience who is a market leader within their industry. As part of their plan to invest in technology, they are now hiring an experienced Data Engineer to join their team.
About the job
- Analyze business requirements and translate them into scalable technical designs for our Enterprise Data Warehouse (EDW) and data marts.
- Design, build, and maintain scalable and reliable ETL/ELT data pipelines and processes.
- Building and managing Data Infrastructure that allows smooth data ingestion and increased reliability. Ensuring data is always available, accurate, and fast
- Write clean, maintainable, and well-documented code with the support of external vendors / Offshore developers, reviewing codes and ensure that SLA is being adhered to
- Proactively identify areas for improvement to continuously enhance existing data platform
Skills and experience required
As a successful applicant, you will have proven track record in designing and implementing robust data pipelines and ETL/ELT frameworks. Strong expertise in data warehouse design methodologies and data modeling.
Proven track record in Azure Data Factory is required for this role.
Whats on offer
This is an excellent opportunity to join an established company with heavy investments in Data.
To apply, It will be great if you could share your CV to hoonteck.tan@randstad.com.sg. Alternatively, you can apply at https://lnkd.in/getAjTw4(EA: 94C3609/ R1219669)
JOB SUMMARY
Data Engineer | Azure Data | In house

RANDSTAD PTE. LIMITED
Singapore
6 days ago
N/A
Full-time
Data Engineer | Azure Data | In house