Senior Data Engineer – Real-Time Data Pipelines & Platform

WAN SOLUTIONS; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

WAN SOLUTIONS seeks a Senior Data Engineer to design, implement and maintain scalable data pipelines and warehousing that support batch and real-time processing. You will collaborate with stakeholders, data scientists and partners to build robust data models and secure data flows.

The role focuses on data quality, governance and performance across diverse sources, demanding 3+ years in DI/ETL and hands-on SQL, Python, and data platform experience.

Qualifications

• 3+ years building and optimizing data pipelines using DI/ETL technologies such as Informatica or Talend.
• Experience with data transformation, metadata, dependency and workload management and big data tech (Spark, Hadoop, Hive).
• Proficiency with SQL, Python and multiple data sources (flat files, SQL, SAP/Postgres, unstructured data).

Responsibilities

• Collaborate with customers, partners and colleagues on data-related technical issues and support their data infrastructure needs.
• Work closely 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 disparate sources and latencies.
• Define, monitor and report SLAs for data pipelines and data products.
• Understand data security and governance standards to implement compliant solutions.
• Lead data quality assurance practices.
• Support data management solutions pre-sales initiatives and post-sales support.

Skills

Data Wrangling

Data Visualization

DBMS

SQL

Python

Tools

Informatica

Talend

Spark

Hadoop

Hive

MS Access

SharePoint

Power BI

Kubernetes

Docker/Podman

Job description

WAN SOLUTIONS seeks a Senior Data Engineer to design, implement and maintain scalable data pipelines and warehousing that support batch and real-time processing. You will collaborate with stakeholders, data scientists and partners to build robust data models and secure data flows.

The role focuses on data quality, governance and performance across diverse sources, demanding 3+ years in DI/ETL and hands-on SQL, Python, and data platform experience.