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Kafka Data Engineer – Digital Banking

Kafka Data Engineer – Digital Banking

Tentacle InfotechKuala Lumpur, Kuala Lumpur, Malaysia
1 hari lalu
Penerangan pekerjaan

Job Title : Kafka Data Engineer – Digital Banking

Job Purpose

Design, develop, and maintain Kafka-based data pipelines and related technologies to deliver scalable, efficient, and comprehensive digital solutions that meet business needs.

Key Responsibilities

  • Design, develop, and manage Kafka-based data pipelines ensuring scalability, adaptability, and efficiency.
  • Build expertise in data migration and Change Data Capture (CDC) with Kafka Connect and Debezium.
  • Apply event-driven architecture patterns and Kafka best practices; guide development teams in adopting them.
  • Assist developers with event modeling, ensuring data quality and integrity.
  • Act as a subject matter expert (SME) for Kafka / Confluent through continuous learning.
  • Work with Kafka and Confluent APIs (metadata, metrics, admin) to enable proactive insights and automation.
  • Prepare and maintain documentation (data mapping, data dictionary).
  • Design monitoring solutions and statistical reporting to support implementations.
  • Provide Level 2 & 3 BAU support and optimize existing Kafka environments.

Requirements

  • Bachelor's degree in Computer Science, related field, or equivalent work experience.
  • 3+ years' data engineering experience, including Kafka (on-premise).
  • Strong knowledge of Kafka, SQL (with tuning), and database fundamentals.
  • Solid understanding of distributed systems.
  • Strong communication and interpersonal skills.

    • Good to Have

  • Experience with Data Warehousing and Big Data technologies.
  • Knowledge of Operational Data Store (ODS) and Change Data Capture (CDC).
  • Expertise in Debezium.
  • Relevant certifications in data engineering / programming.

    • Job Type : Full-time

    Pay : RM11, RM12,000.00 per month

    Education :

  • Bachelor's (Preferred)

    • Experience :

  • Banking domain knowledge : 1 year (Preferred)
  • MSSQL : 3 years (Preferred)
  • SQL scripting, Stored Procedure : 2 years (Preferred)
  • performance tuning (query / database / etl) : 2 years (Preferred)
  • data engineering , including Kafka (on-premise). : 2 years (Required)
  • Kafka connectors : 2 years (Preferred)
  • messaging and stream processing on Kafka : 2 years (Preferred)
  • KSQL : 2 years (Preferred)
  • Python : 2 years (Preferred)

    • Work Location : In person

    Buat amaran kerja untuk carian ini

    Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia