Data And Analytics Software Engineer

Singapore, Singapore

Job Description


: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.
Qualifications:Soft skills
  • Passion for software development and data & analytics
  • Problem solving mindset.
  • Self-learner, self-driven, responsible, and strong sense of ownership
  • A strong communication skill with the ability to switch between data/technical language and business/layperson data related discussion.
Hard skills
  • Strong knowledge on Azure Web Applications Services is preferred.
  • Black belt in SQL and Python.
  • At least 5 years\' experience in software development and data (BI, Data science, Data Engineering) manipulating large and complex data sets.
  • Strong foundation with Distributed Systems manipulation (Spark, PySpark)
  • Strong foundation in Azure Data Services.
  • Experience in large organization or consulting is preferred.
About Us:Hafnia is one of the world\'s leading oil product tanker owners and operators. We provide transportation of oil and oil products to national and international oil companies, major chemical companies, as well as trading and utility companies.Hafnia is a company that\'s all about our people both the people that run the business, and those that manage our customers. We\'ve always done things differently and prioritized a strong, commercial mindset. But we\'ve never cut corners when it comes to relationships. Building strong business relationships with our customers is the foundation of what we do. We\'re in this for the long run and focus on their needs 100%. We are transparent and we stick by our promises as the partner you can turn to in a tight spot meaning our customers stick with us. Our foremost rule is putting people first and that\'s how we\'ve become one of the leading ship owners and operators of today\'s product tanker industry globally.Hafnia has a solid history in chartering, operations, and technical management, and strives to offer customers the best solution for their transportation needs. This solution-focused approach has resulted in a strong reputation and the Company remains firmly committed to being a responsible member of the industry and operating according to the highest ethical standards.

Hafnia

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Job Detail

  • Job Id
    JD1459764
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned