AWS Data Engineer: ETL Pipelines & Analytics

PERSOL; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

PERSOL is seeking a data engineer / analyst to build scalable ETL pipelines in AWS, organize data stores, and collaborate with stakeholders to solve business needs. The role involves data analysis, data preparation for modeling, and ensuring data quality across multiple data sources.

You should have a degree in CS/IT, strong SQL, and experience with ETL tools like Pentaho and Informatica, plus BI experience with Tableau.

Qualifications

• Degree in Computer Science, IT, or similar field.
• Strong SQL knowledge and data analysis skills.
• Experience with ETL tools such as Pentaho Data Integration and Informatica.
• Experience in data analysis, profiling, and processing.
• Familiarity with databases like Oracle, PostgreSQL, RedShift.
• Experience with BI tools like Tableau.

Responsibilities

• Build data pipelines (ETL) to enable scalable processing in AWS environment (Informatica, Pentaho).
• Organise, build and maintain data stores (e.g., RedShift, RDS) of structured/unstructured data.
• Co-evaluate business needs and objectives.
• Identify opportunities for data acquisition and data integration.
• Conduct data analysis and report results, independently or with data analysts.
• Prepare data for modeling and analysis; combine data sources; improve data quality.
• Work with stakeholders to solve business needs related to advanced data processing.

Job description

PERSOL is seeking a data engineer / analyst to build scalable ETL pipelines in AWS, organize data stores, and collaborate with stakeholders to solve business needs. The role involves data analysis, data preparation for modeling, and ensuring data quality across multiple data sources.

You should have a degree in CS/IT, strong SQL, and experience with ETL tools like Pentaho and Informatica, plus BI experience with Tableau.