Data Engineer
Data Engineer (GCP)
Location:
Singapore Experience:
2-5 Years Job Overview
We are seeking a talented
Data Engineer (GCP)
to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with cloud data architectures, ETL/ELT pipelines, BigQuery, and Power BI, along with a strong analytical mindset to drive business insights and data-driven decision-making. Key Responsibilities
Develop, maintain, and optimize ETL/ELT pipelines using GCP services such as
BigQuery, Dataflow, Dataproc, and Cloud Storage . Design and implement
Medallion Architecture
for scalable and structured data processing. Collaborate with project managers, business stakeholders, and technical teams to define KPIs, metrics, and reporting requirements. Perform proactive data analysis to identify process improvements and business opportunities. Build and maintain
Power BI dashboards and reports , integrating data from multiple sources. Define data integration strategies focused on scalability, performance, and cost optimization. Develop and maintain data models, data warehouses, and databases within BigQuery. Create automation scripts and workflows to improve data processing efficiency. Ensure data quality, governance, consistency, and compliance across datasets. Required Skills & Qualifications
Bachelor's Degree in Computer Science, Data Engineering, Mathematics, Information Technology, or a related field. 2-5 years of experience in
Data Engineering, Data Analytics, or Big Data environments . Strong hands-on experience with
Google Cloud Platform (GCP)
services such as BigQuery, Dataflow, Dataproc, and Cloud Storage. Knowledge of
Medallion Architecture
and modern data warehousing concepts. Experience with
Power BI
for reporting and visualization. Strong proficiency in
SQL
and working with large-scale datasets. Experience designing, developing, and maintaining ETL/ELT pipelines. Knowledge of data cleansing, transformation, validation, and data quality practices. Strong analytical, troubleshooting, and problem-solving skills. Ability to communicate technical concepts effectively to non-technical stakeholders. Preferred Skills
Experience with Python for data engineering and automation. Exposure to cloud-based data lakes and modern analytics platforms. Knowledge of data governance and data security best practices. Familiarity with Agile delivery environments.
Interested candidates can apply with their updated CV.
If you are eager to contribute your IT skills to a respected company in the relevant sector, we encourage you to apply today! Contact: Lily Tran (Lic No: R24123492/ EA no:18S9099) Phone number: +65 64169807
Location:
Singapore Experience:
2-5 Years Job Overview
We are seeking a talented
Data Engineer (GCP)
to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with cloud data architectures, ETL/ELT pipelines, BigQuery, and Power BI, along with a strong analytical mindset to drive business insights and data-driven decision-making. Key Responsibilities
Develop, maintain, and optimize ETL/ELT pipelines using GCP services such as
BigQuery, Dataflow, Dataproc, and Cloud Storage . Design and implement
Medallion Architecture
for scalable and structured data processing. Collaborate with project managers, business stakeholders, and technical teams to define KPIs, metrics, and reporting requirements. Perform proactive data analysis to identify process improvements and business opportunities. Build and maintain
Power BI dashboards and reports , integrating data from multiple sources. Define data integration strategies focused on scalability, performance, and cost optimization. Develop and maintain data models, data warehouses, and databases within BigQuery. Create automation scripts and workflows to improve data processing efficiency. Ensure data quality, governance, consistency, and compliance across datasets. Required Skills & Qualifications
Bachelor's Degree in Computer Science, Data Engineering, Mathematics, Information Technology, or a related field. 2-5 years of experience in
Data Engineering, Data Analytics, or Big Data environments . Strong hands-on experience with
Google Cloud Platform (GCP)
services such as BigQuery, Dataflow, Dataproc, and Cloud Storage. Knowledge of
Medallion Architecture
and modern data warehousing concepts. Experience with
Power BI
for reporting and visualization. Strong proficiency in
SQL
and working with large-scale datasets. Experience designing, developing, and maintaining ETL/ELT pipelines. Knowledge of data cleansing, transformation, validation, and data quality practices. Strong analytical, troubleshooting, and problem-solving skills. Ability to communicate technical concepts effectively to non-technical stakeholders. Preferred Skills
Experience with Python for data engineering and automation. Exposure to cloud-based data lakes and modern analytics platforms. Knowledge of data governance and data security best practices. Familiarity with Agile delivery environments.
Interested candidates can apply with their updated CV.
If you are eager to contribute your IT skills to a respected company in the relevant sector, we encourage you to apply today! Contact: Lily Tran (Lic No: R24123492/ EA no:18S9099) Phone number: +65 64169807