Senior Real-Time Data Platform Engineer

Rippling, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

VIDAA is a leading TV OS distributor seeking a real-time data platform engineer in Singapore. You will own ingestion pipelines and the real-time data warehouse, ensuring timely, accurate data across dashboards and analytics.

The role collaborates with business teams, data analysts, and product managers to implement scalable streaming solutions and maintain high availability of data services. You will work with Kafka, Spark, Flink, and cloud-native tools to optimize latency, throughput, and data

Qualifications

• Bachelor’s degree in Computer Science or related field and 3+ years in big data.
• Strong English communication and overseas collaboration experience preferred.
• Expert knowledge of Kafka and real-time data ingestion, with stability governance.
• Hands-on with Spark, Flink, and real-time data warehouse architecture.
• Experience with cloud-native data tools (BQ, Databricks, DBT) is expected.
• Proficiency in Python/Scala/Java and Linux command line.

Responsibilities

• Own building and maintaining real-time data ingestion and warehousing pipelines.
• Design multi-layer real-time data models and tune streaming ETL pipelines.
• Collaborate with analysts and product managers on data requirements and delivery.
• Maintain Kafka pipelines, troubleshoot backlog, skew, and data loss.
• Develop and optimize Spark and real-time tasks for latency and throughput.
• Contribute to data standards, quality governance, and best practices.
• Provide stable real-time data support for BI dashboards and metrics.

Skills

Kafka

Spark

Flink

BigQuery

DBT

Databricks

Python

Scala

Java

Linux

Shell scripting

CDC/real-time ingestion

Cloud platforms

Education

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related

Tools

Kafka

Spark

Flink

BigQuery

DBT

Databricks

Python

Scala

Java

Linux

Shell

Job description

VIDAA is a leading TV OS distributor seeking a real-time data platform engineer in Singapore. You will own ingestion pipelines and the real-time data warehouse, ensuring timely, accurate data across dashboards and analytics.

The role collaborates with business teams, data analysts, and product managers to implement scalable streaming solutions and maintain high availability of data services. You will work with Kafka, Spark, Flink, and cloud-native tools to optimize latency, throughput, and data