Data Engineer (Junior/Senior)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 60,000 - 120,000; Full time

Benefits offered by this job

Exposure to innovative technologies

Collaborative working environment

Professional growth opportunities

Competitive remuneration and benefits

Job summary

Talentsis Pte Ltd is seeking a Data Engineer (Junior/Senior) to design, develop, and maintain scalable data pipelines and infrastructure for efficient data collection, processing, storage, and management.

The role involves working with data scientists and stakeholders, ensuring data quality and governance, and enabling robust data processing across systems. A collaborative environment and professional growth opportunities are offered along with competitive remuneration.

Qualifications

• Minimum 2 years of experience in data engineering and ETL development.
• Experience designing data pipelines and data warehouses.
• Familiarity with batch and real-time data processing.
• Knowledge of data quality, governance, and security.
• Experience with multiple data sources and data wrangling.

Responsibilities

• Design, build, and optimise ETL processes, data pipelines, and data warehouse solutions.
• Develop and maintain data systems for batch, real-time, and large-scale data processing.
• Collaborate with data scientists and stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, security, governance, and pipeline performance.
• Monitor data workflows and troubleshoot data processing issues.
• Support data infrastructure design, solution implementation, and technical proposals.

Skills

SQL

Python

ETL development

Data modelling

Tools

Informatica

Talend

Spark

Hadoop

Hive

Power BI

Docker

Kubernetes

Job description

We are seeking a full-time, permanent Data Engineer (Junior/Senior) to design, develop, and maintain scalable data pipelines and infrastructure for efficient data collection, processing, storage, and management.

Key Responsibilities

• Design, build, and optimise ETL processes, data pipelines, and data warehouse solutions.
• Develop and maintain data systems for batch, real-time, and large-scale data processing.
• Work with data scientists and stakeholders to understand data requirements and deliver suitable solutions.
• Ensure data quality, security, governance, and pipeline performance.
• Monitor data workflows and troubleshoot data processing issues.
• Support data infrastructure design, solution implementation, and technical proposals.

Requirements

• Minimum 2 years of experience in data engineering, ETL development, and data pipeline implementation.
• Strong proficiency inSQL and Python.
• Experience with ETL tools such asInformatica or Talend.
• Knowledge of data warehousing, data modelling, and database management.
• Familiarity with big data technologies such asSpark, Hadoop, or Hive.
• Experience handling structured and unstructured data from multiple sources.
• Knowledge of data wrangling, data transformation, and data quality management.
• Exposure to Power BI, Docker, Kubernetes, Microservices Architecture, or DevSecOps is an advantage.

What We Offer

• Exposure to innovative technologies and large-scale data projects.
• Collaborative working environment.
• Opportunities for professional growth.
• Competitive remuneration and comprehensive benefits.

(EA Reg No: 20C0312)