Microservices and Messaging Infrastructure Senior Custodian

TATA CONSULTANCY SERVICES ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading consultancy firm in Singapore is looking for a specialist in microservices and messaging infrastructures to build and scale applications in the FinTech sector. The ideal candidate must possess strong programming skills in Java, expertise in Spring, and experience with messaging infrastructures like Kafka, NoSQL databases, and big data technologies. Responsibilities include analyzing data sets and addressing parity issues while developing RESTful APIs. Competitive compensation offered.

Qualifications

• Strong programming skills and expertise in Java, Spring.
• Knowledge of Messaging Infrastructures like Kafka.
• Strong foundational knowledge in Data Structures, SQL/NoSQL.
• Experience with Cloud-based technologies and Big Data Frameworks.

Responsibilities

• Build and scale large-scale applications in FinTech.
• Analyze and audit large data sets to address Parity issues.

Skills

Java programming

Spring framework

Messaging infrastructures

Dataflow

Flink

Spark streaming

Object-Oriented Design Principles

SQL

NoSQL

Concurrency

Software Engineering

RESTful APIs

Web Services

Big Data Technologies

Tools

Kafka

NOSQL Databases

Cloud-based technologies

Bigtable

BigQuery

Job description

We are seeking a strong custodian of microservices and messaging infrastructures, to be directly involved in building and scaling up large-scale applications in the FinTech space!
Please refer below for the requirements for this role:

• Strong programming skills and expertise in Java, Spring, MessagingInfrastructures like Kafka,
• Dataflow, Flink, Spark streaming and server-side technologies.
• Strong foundational knowledge in Object-Oriented Design Principles, Data Structures, Algorithms,
• SQL/NoSQL, Concurrency, Operating Systems, and Software Engineering
• Experience with NOSQL Databases, Distributed systems, Cloud-based technologies, Big Data Frameworks.
• Experience on Big Data Technologies such as Bigtable, BigQuery etc.
• Applied Experience with development of RESTful APIs, Web Services, SOA.
• Applied experience analyzing and auditing large data sets to address Parity issues between multiple datasets