Data Engineer

Talentsis Pte Ltd; Singapore; On-site; SGD 60,000 - 110,000; Full time

Job summary

Talentsis Pte Ltd is seeking a Data Engineer in Singapore to develop and maintain data pipelines, processing systems and data platforms that support business and analytics needs. You will work on ETL/ELT processes, data workflows and data integration across sources, designing SQL queries and data processing jobs.

The role requires a diploma/degree in CS/IT or related field and at least 1 year of data engineering experience, with proficiency in SQL and Python.

Qualifications

• Diploma/Degree in Computer Science, Data Engineering or related field.
• Minimum 1 year of Data Engineering experience.
• Proficiency in SQL and Python.

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.

Skills

SQL

Python

Data Pipelines

ETL/ELT

Cloud Platforms

Education

CS/IT degree

Tools

Spark

Airflow

Kafka

Data Warehouses

Job description

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.

(EA Reg No: 20C0312)