Software Developer Specialist/Senior Specialist (Data Platform Eng)

Nasdaq; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A leading financial technology firm is seeking a Software Developer Specialist/Senior Specialist focused on data platforms in Singapore. You will develop scalable solutions, utilizing technologies like AWS and Python, and drive innovation in the FinTech industry. Candidates must have at least 8 years of experience in software development and be skilled in automation and data processing. This role offers a competitive salary and a range of benefits.

Benefits

Annual monetary bonus

Health insurance

Flexible working schedules

Online learning resources

Opportunities to become a shareholder

Qualifications

• Minimum of 8 years of experience in Software Development.
• Solid understanding of Python or Java.
• Experience with AWS and distributed data tools.

Responsibilities

• Develop and maintain software solutions for a scalable data platform.
• Implement AI-driven automation processes.
• Design, code, test, and customize software solutions.

Skills

Python

Java

AWS

Distributed data tools (Databricks, Spark, Kafka)

SQL (Postgres, MySQL)

RESTful API creation

Git

Agile software development workflows

Terraform

Kubernetes

Job description

Software Developer Specialist/Senior Specialist (Data Platform Eng)

As a Senior Software Developer Specialist at Nasdaq Technology, your main focus will be on software development. In this role, you will be joining the Bangalore technology center in India, where innovation and effectiveness are key drivers. Nasdaq is at the forefront of revolutionizing markets and constantly adopting new technologies to develop innovative solutions, aiming to rewrite tomorrow. In your capacity as a Lead Software/Data Engineer, you will be instrumental in delivering complex technical systems to both new and existing customers. Your role will involve exploring new technologies within the FinTech industry and contributing to the development of a scalable and fault-tolerant data platform. This platform will be responsible for ensuring that data is up to date, accurate, and reliable, by cleaning, transforming, and loading data from various sources in different formats. The engineering team at Nasdaq follows modern development methodologies with short sprints, code review, and continuous deployment. You will be working with a micro-services architecture using AWS, Databricks, and Python, as well as leveraging AI automation to enhance efficiency and accuracy in data processing pipelines. Transparent communication, teamwork, and shared understanding are highly valued within the organization. Key responsibilities include being an ambitious thinker and problem solver, using your technical knowledge to design, code, test, and customize software solutions, and ensuring that systems software design requirements are met. You should have a minimum of 8 years of experience in Software Development, a solid understanding of Python or Java, experience with AWS, distributed data tools such as Databricks, Spark, Kafka, and relational SQL databases like Postgres and MySQL. It is also essential to be familiar with RESTful API creation, Git, and modern agile software development workflows. Moreover, you will play a role in developing security solutions, program logic for applications, and modifying existing software products to enhance functionality and performance. You will be expected to implement and maintain AI-driven automation processes, utilize machine learning techniques, and develop automated solutions for data cleansing and validation.Additionally, having knowledge of AWS, Terraform, and Kubernetes would be beneficial for this role. Nasdaq encourages a culture of initiative, challenging the status quo, and taking intelligent risks. The company values work-life balance, well-being, and provides various benefits including an annual monetary bonus, opportunities to become a Nasdaq shareholder, health insurance, flexible working schedules, and a wide selection of online learning resources.If this opportunity aligns with your skills and aspirations, we encourage you to apply in English as soon as possible. Nasdaq is committed to fostering a diverse and inclusive workplace where everyone's authentic self is welcomed and supported.,

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