Data Engineer

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking a Data Engineer to develop and maintain data pipelines, processing systems, and data platforms that support business and analytics needs.

You will design, implement, and optimize ETL/ELT processes, work with SQL and Python, and collaborate with analysts and teams to ensure data quality and availability across cloud-based analytics platforms.

Qualifications

• 1+ year of Data Engineering experience.
• Proficiency in SQL and Python.
• Familiarity with ETL/ELT and data pipelines.

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

Education

Diploma/Degree in Computer Science, Data Engineering, IT, or related field

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)