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Data and Analytics Software Engineer

2 months ago

Singapore MyCareersFuture Full time

Roles & Responsibilities

Be part of our young and energetic team in Singapore, driven by innovation and strive for exploring new technologies to make data and analytics accessible to Hafnias businesses. We are at the early stage of the implementation. Hafnia is looking for talented individual that have a strong sense of ownership and responsibility.

Responsibilities

You will play a crucial role in building applications on top of our data lake to power business requirements and leverage the vast amount of data we have. You will work closely with our experienced team to design, develop, and implement software solutions that enable data-driven decision-making. This role requires strong technical skills, a deep understanding of data engineering and data science principles, and the ability to communicate effectively with both technical and non-technical stakeholders.

We use the scrum methodology to support our projects. Collaborate with teams of experts from all departments.

As a Software Engineer,

Develop, deploy, and maintain big data software solutions. Lead the development of a software architecture that supports the three Vs of big data (Volume, Velocity and Variety). Design and serve a Dataplatform As A Service for Analytics Engineers and business users. Ensure that the development best practices are followed. Develop and deploy Azure Services to support software development. Understand and run high-performance analytical database (Databricks) Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Proficiency in Python and SQL. Strong understanding of object-oriented programming (OOP) and design patterns. Proficiency in programming languages such as .NET and Python. Experience with software development frameworks and libraries. Familiarity with version control systems such as Git. Knowledge of software testing and debugging methodologies. Ability to write clean, maintainable, and efficient code. Experience with agile development methodologies.