Data Engineer (Junior/ Senior | Permanent)

talentsis pte. ltd.; Singapore; On-site; SGD 65,000 - 98,000; Full time

Job summary

talentsis pte. ltd. is seeking a Data Engineer to design, build and maintain data pipelines, ETL/ELT processes and data platforms that support analytics and business decisions.

The role requires 1+ year experience, strong SQL and Python skills, and familiarity with cloud platforms (AWS/Azure/GCP). You will collaborate with analysts and developers to ensure data quality, reliability, and timely delivery.

Qualifications

• Bachelor's degree or diploma in Computer Science/IT or related field.
• Minimum 1 year of Data Engineering experience.
• Proficiency in SQL and Python.
• Experience with ETL/ELT, data pipelines and databases.
• Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
• Familiarity with Spark, Airflow, Kafka, or data warehouses is beneficial.

Responsibilities

• Develop and maintain data pipelines and ETL/ELT processes.
• Design data workflows and data integration solutions.
• Extract, transform, and process data from sources.
• Develop and optimise SQL queries and data processing jobs.
• Monitor data pipelines and troubleshoot data issues.
• Ensure data quality, reliability and availability.
• Collaborate with data analysts, developers and business teams.

Skills

SQL

Python

ETL/ELT

Data pipelines

Spark

Airflow

Education

Bachelor's degree in Computer Science/IT

Tools

Spark

Airflow

Kafka

Data warehouses

Job description

Data Engineer

Location: Singapore
Employment Type: Permanent
Experience: 1+ year

About the Role

We are looking for a Data Engineer to develop and maintain data pipelines, processing systems, and data platforms that support business and analytics needs.

Key Responsibilities

• Develop and maintain data pipelines and ETL/ELT processes.
• Design and manage data workflows and data integration solutions.
• Extract, transform, and process data from various sources.
• Develop and optimise SQL queries and data processing jobs.
• Monitor data pipelines and troubleshoot data-related issues.
• Ensure data quality, reliability, and availability.
• Collaborate with data analysts, developers, and business teams.

Requirements

• Diploma/Degree in Computer Science, Data Engineering, IT, or related field.
• Minimum 1 year of Data Engineering experience.
• Proficiency in SQL and Python.
• Experience with ETL/ELT, data pipelines, and databases.
• Familiarity with cloud platforms such as AWS, Azure, or GCP is an advantage.
• Knowledge of tools such as Spark, Airflow, Kafka, or data warehouses is a plus.
• Strong analytical and problem-solving skills.

Only shortlisted candidates will be notified.

(EA Reg No: 20C0312)