Data Engineer: Build Scalable Pipelines & Big Data Impact

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Benefits offered by this job

Innovative tech exposure

Collaborative environment

Professional growth

Competitive benefits

Job summary

TALENTSIS PTE. LTD. in Singapore seeks a Data Engineer (Junior/Senior) to design, develop and maintain scalable data pipelines and infrastructure for efficient data collection, processing, storage and management.

You will work on ETL processes, data warehouses and real-time data systems, collaborating with data scientists and stakeholders to meet data requirements. We offer exposure to large-scale projects, a collaborative environment, opportunities for growth and competitive remuneration with

Qualifications

• Minimum 2 years of data engineering experience with ETL and pipelines.
• Strong SQL and Python proficiency.
• Experience with ETL tools including Informatica or Talend.
• Knowledge of data warehousing, modelling and DB management.
• Familiarity with Spark, Hadoop or Hive.

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 pipelines

Data warehousing

Big data

Tools

Informatica

Talend

Power BI

Docker

Kubernetes

DevSecOps

Job description

TALENTSIS PTE. LTD. in Singapore seeks a Data Engineer (Junior/Senior) to design, develop and maintain scalable data pipelines and infrastructure for efficient data collection, processing, storage and management.

You will work on ETL processes, data warehouses and real-time data systems, collaborating with data scientists and stakeholders to meet data requirements. We offer exposure to large-scale projects, a collaborative environment, opportunities for growth and competitive remuneration with