Data Platform Engineer: Hadoop, Spark & Data Lake

JEET ANALYTICS PTE. LTD.; Singapore; Presencial; SGD 90.000 - 130.000; Jornada completa

Descripción de la vacante

JEET ANALYTICS PTE. LTD. in Singapore seeks a Data Engineer to design and scale data pipelines across Hadoop platforms, delivering ingestion frameworks and automation capabilities for enterprise data sources.

You will optimize performance, ensure data quality and governance, and support data warehousing and analytics across banking-grade domains with strong Java/Python and SQL skills.

Formación

• Design and develop scalable data pipelines in an enterprise data lake.
• Implement high-performance batch and streaming data ingestion frameworks.
• Work with Hadoop ecosystem components for reliable data processing.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Hadoop stack.
• Build ingestion patterns for structured and unstructured data sources.
• Develop transformation logic with Spark, HiveQL, SQL, and Java-based processing.
• Automate deployment and integrate data engineering into CI/CD pipelines.
• Provide L3 production support and incident management for data lake apps.

Conocimientos

Hadoop

Spark

Hive

Java

Python

SQL

Data pipelines

Data ingestion

CI/CD

Git

Herramientas

Cloudera CDP

Kafka

YARN

Oozie

Jenkins

Azure DevOps

Descripción del empleo

JEET ANALYTICS PTE. LTD. in Singapore seeks a Data Engineer to design and scale data pipelines across Hadoop platforms, delivering ingestion frameworks and automation capabilities for enterprise data sources.

You will optimize performance, ensure data quality and governance, and support data warehousing and analytics across banking-grade domains with strong Java/Python and SQL skills.