Data Engineer (Junior/ Senior - Permanent)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 33,000 - 61,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking a Data Engineer in Singapore to develop and maintain data pipelines and platforms that support analytics and business needs. The role requires 1+ year of experience and proficiency in SQL and Python.

You will design data workflows, manage integrations, and optimise data processing jobs while ensuring data quality and availability. Collaboration with analysts and teams across the business is essential in this permanent position.

Qualifications

• Diploma/Degree in CS, Data Eng, 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.

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

Analytical thinking

Problem-solving

Education

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

Tools

ETL/ELT

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)