Senior Data Engineer: Real-Time Pipelines & Warehousing

talentsis pte. ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

talentsis pte. ltd. is seeking a Senior Data Engineer to design, implement and maintain data flow channels and processing systems for scalable, secure data collection and warehousing in Singapore.

The role focuses on defining optimal data solutions, coding and testing data systems for integration into internal infrastructure. You will work with customers, partners and colleagues to address data infrastructure needs, align with data governance standards, and support pre- and post-sales data

Qualifications

• Minimum 3 years' experience building and optimising data pipelines, architecture and datasets using DI/ETL tech (Informatica, Talend etc).
• Experience in data transformation, data structures, metadata, dependency and workload management; big data tech (e.g., Spark, Hadoop, Hive).
• Proficiency in Data Wrangling, Data Visualization, DBMS, SQL, Python.

Responsibilities

• Work with stakeholders on data-related technical issues and support data infrastructure needs.
• Collaborate with data scientists to gather data requirements for modeling work.
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse and data pipelines for large volumes of data from diverse sources.

Skills

Data Wrangling

Data Visualization

SQL

Python

DBMS

Tools

Power BI

Kubernetes

Docker/Podman

Microservices Architecture

DevSecOps

MS Access

SharePoint

Job description

talentsis pte. ltd. is seeking a Senior Data Engineer to design, implement and maintain data flow channels and processing systems for scalable, secure data collection and warehousing in Singapore.

The role focuses on defining optimal data solutions, coding and testing data systems for integration into internal infrastructure. You will work with customers, partners and colleagues to address data infrastructure needs, align with data governance standards, and support pre- and post-sales data