Company Description:
Pylon.AI is a start-up data analytics company in Singapore providing data integrated services and IoT (Internet of Things) solutions for the Built Environment sector. We are dedicated to building a unified analytics platform to deliver insights, drive productivity, and increase efficiency and safety across the building lifecycle, and our team is made up of passionate and talented individuals who share our values.
We are proud to serve a diverse range of customers and partners, from small start-ups to large corporations, and we are committed to building strong, long-lasting relationships with every one of them. Our solutions are designed to meet the unique needs of our customers and we take pride in delivering results that exceed their expectations.
At Pylon.AI, we believe in passion, teamwork, innovation, and simplicity. We strive to create a harmonious environment that fosters collaboration, creativity, and innovation. Our employees are our most valuable asset, and we are committed to providing them with the tools, resources and support they need to succeed.
If you are looking for a company that values your skills, encourage your growth, and challenges the impossible, then Pylon.AI is the place for you. Join us and become part of a team that is driving innovation and making a real difference in the Built Environment sector.
Job Description:
Your duties include:
- Cleaning and transforming data, creating visualisations and reports, and presenting findings to stakeholders in a clear and understandable manner.
- Working closely with other team members including project managers, customer success managers, developers as well as end users to ensure projects are delivered on time and to the highest quality.
- Ad-hoc data engineering responsibilities such as designing & implementing data pipeline models and cloud resource management.
Responsibilities:
- Collect, clean, and transform large datasets for analysis. This may involve working with programming languages such as, SQL, R/Python, JavaScript, etc to create automated data processing flow. Codes should be clean and well-documented.
- Design, develop and maintain dashboards, interactive visualisations for data exploration and help end users make data-driven decisions. This includes using analytical tools such as Microsoft Excel, PowerBI, ZOHO and/or Tableau.
- Conduct ad-hoc analysis to answer specific business questions and address challenges.
- Collaborate with stakeholders to define business requirements and translate them into analytical tasks.
- Communicate findings and recommendations to stakeholders through presentations, reports, and other channels.
- Involve in data quality assurance processes and ensuring data accuracy and consistency.
- Participate in the development and implementation of data governance policies and procedures.
- Willing to stay up to date with emerging technologies and tools in the data analytics space and evaluate how they can be used to improve the company's analytics platform and services.
Preferred
- Familiarity with IoT devices and their data streams.
- Familiarity with version control systems (GIT and others), CI/CD practices, testing and migration tools for database and software.
- Understanding of machine learning techniques and their applications in data analysis.
- Experience working with APIs and SQL databases.
- Experience with building and maintaining data pipelines. Design, and implement data pipelines to extract, transform, and load data from various sources into the company's analytics platform. This may involve working with different programming languages, databases, and tools such as PowerShell, Apache Spark, PySpark, etc.
- Experience with managing cloud infrastructure and security. Ensure company's infrastructure is secured and scalable, including setting up and maintaining cloud services such as AWS, Azure, or GCP. To also work with the team to implement security best practices.
