.Data Engineer [Apache Iceberg & Databricks]

NCS • Managed Security • IT Consulting & Digital Transformation • Python • SQL • ETL/ELT • 27 days ago

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Location

Hybrid (Taguig, Philippines)

Employment

Full-Time

First seen by Alion on Sep 25, 2026. NCS scores A on the Alion truth index.

Overview

Company

Impact

Profile match

NCS

NCS is a technology services provider headquartered in Singapore and was founded in 1981. The company provides a broad range of services including digital transformation, system integration, cybersecurity, and artificial intelligence solutions for government and enterprise clients. As a subsidiary of the Singtel Group, it operates across the Asia Pacific region with a presence in markets such as Australia, China, and India.

ncs.co • HQ: Singapore • AI Consulting & Integration • Managed Security • IT Consulting & Digital Transformation • Systems Integrators • 1001-5000 employees • Est. 1981

Tech stack of NCS

Requirements

3+ years of experience in Data Engineering or a related role.
Hands-on experience with Databricks and Apache Iceberg.
Strong SQL and Python skills.
Experience with Spark/PySpark and distributed data processing.
Strong understanding of Data Lake/Lakehouse architecture.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of ETL/ELT, data modeling, and data pipeline development.
Experience with Delta Lake, Kafka, or other data technologies is an advantage.

Qualifications

Responsibilities

Design, build, and maintain scalable data pipelines and data platforms.
Develop and optimize data processing workflows using Databricks and Apache Iceberg.
Build and manage batch and streaming data pipelines.
Work with data lake/lakehouse architectures and ensure data quality, reliability, and performance.
Integrate data from multiple sources and transform it for analytics and business use.
Implement data governance, security, monitoring, and optimization practices.
Collaborate with Data Architects, Analysts, and other engineering teams to deliver data solutions.

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