Systems Specialist (Big Data Platform)

TANGSPAC SEARCH PRIVATE LIMITED; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading recruitment agency in Singapore is seeking a Big Data Infrastructure Specialist responsible for shaping and governing the bank’s next-generation data infrastructure. Ideal candidates must have hands-on experience with platforms like Hadoop and Spark, and deep understanding of distributed systems. Strong communication skills and prior experience in the financial services sector are preferred. Interested candidates should email their resumes.

Qualifications

• Strong hands-on experience with big data platforms such as Hadoop, Spark, Hive.
• Deep understanding of distributed systems and large-scale data processing.
• Experience with cloud-based data architectures and container orchestration.

Responsibilities

• Architect and design enterprise-grade big data platforms for the organization.
• Lead the implementation of distributed data systems to support high-volume workloads.
• Define and ensure data infrastructure standards and best practices across business units.

Skills

Hadoop

Spark

Kafka

Flink

Data architecture

ETL/ELT pipelines

Kubernetes

Cloud services (AWS, Azure, GCP)

Job description

Job Description & Requirements

The Big Data Infrastructure Specialist will be responsible for end‑to‑end design, engineering guidance, and platform governance across our enterprise data ecosystem. You will shape the bank’s next‑generation data infrastructure, ensuring it is scalable, secure, resilient, and alignedwith business and regulatory needs.

• Architect and design enterprise‑grade big data platforms, including compute, storage,ingestion, and processing layers.

• Lead the implementation of distributed data systems (Hadoop, Spark, Kafka, Flink,etc.) to support high‑volume, high‑velocity workloads.
• Define data infrastructure standards and best practices, ensuring consistency across all business units.
• Collaborate with data engineering, analytics, and application teams to deliver robust, high‑performance data solutions.
• Optimise data pipelines and cluster performance, including resource management, tuning,and workload orchestration.
• Ensure platform security, compliance, and governance, aligned to banking regulations and internal risk frameworks.
• Evaluate emerging technologies and drive adoption of modern data infrastructure tools and architectures.
• Provide architectural leadership in projects involving data lake modernisation, cloud migration,and real‑time data streaming.
• Oversee operational reliability, including monitoring, observability, disaster recovery, andcapacity planning.

Requirements

• Strong hands‑on experience with big data platforms such as Hadoop, Spark, Hive, HBase,Kafka, Flink, or similar.
• Deep understanding of distributed systems, cluster management, and large‑scale data processing.
• Experience with cloud‑based data architectures (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Solid knowledge of data security, encryption, IAM, and governance frameworks, especially inregulated industries.
• Familiarity with DevOps and DataOps practices, CI/CD, automation, and infrastructure‑as‑code.
• Strong background in data architecture, ETL/ELT pipelines, and real‑time streaming.
• Excellent communication and stakeholder management skills, with the ability toinfluence technical direction.
• Prior experience in the banking or financial services sector is highly preferred.

Interested candidates please email your latest resume to [e-mail]

EA Registration # : R1108479 | EA License No. – 25C2690