Enterprise Data Platform Architect – Banking & Big Data

RISKDATA CONSULTING PTE. LTD.; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Riskdata Consulting Pte. Ltd. seeks a senior Data Engineer to lead enterprise data platform initiatives in the banking sector, leveraging Hadoop/Cloudera expertise.

You will design and optimize scalable data pipelines, ensure data quality, and collaborate with cross-functional teams to deliver complex projects on time. This role demands 10+ years of hands-on delivery and strong stakeholder management.

Formación

• Extensive experience with enterprise data platforms and data lake architectures.
• Proven track record delivering large-scale data delivery initiatives in banking/financial services.
• Strong hands-on with Hadoop ecosystem and data pipelines.
• Experience in CI/CD and DevOps practices.
• Excellent stakeholder management and project delivery skills.
• Experience in data governance and quality management.

Responsabilidades

• Design, develop, and maintain scalable data pipelines within the Enterprise Data Lake platform.
• Develop high-performance batch and near real-time ingestion frameworks.
• Design and implement transformation logic using Spark, HiveQL, SQL, and Java.
• Build data ingestion patterns for structured, semi-structured, and unstructured data.
• Maintain batch and near real-time data integration solutions.
• Monitor pipeline performance and production incidents; support deployments.
• Provide L3 production support and incident root cause analysis.
• Collaborate with platform teams for cluster utilization and workload management.

Conocimientos

Cloudera CDP

Hadoop

Spark

Hive

Java

Python

SQL

Kafka

Unix/Linux scripting

Shell scripting

ETL/ELT

Data modelling

Herramientas

Git

Jenkins

Azure DevOps

CI/CD pipelines

Descripción del empleo

Riskdata Consulting Pte. Ltd. seeks a senior Data Engineer to lead enterprise data platform initiatives in the banking sector, leveraging Hadoop/Cloudera expertise.

You will design and optimize scalable data pipelines, ensure data quality, and collaborate with cross-functional teams to deliver complex projects on time. This role demands 10+ years of hands-on delivery and strong stakeholder management.