COMPANY OVERVIEW

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

KEY RESPONSIBILITIES

As a Junior Data Engineer, your responsibility is to implement and deploy data analysis pipelines (also called ETL) at various clients of Lynx Analytics. In this role, you will

Work with our senior data engineers / scientists and gradually move towards independent project delivery.
Discover the client's existing data sources that are relevant to the problem we try to solve. This includes discussions with client IT, data owners, future business users, etc.
Contribute to the decisions on the technical architecture for the ETL solution.
Implement the data ingestion subsystem: this is the system responsible for moving all the necessary data sources to a single location where the actual analysis will happen.
Implement the data analysis pipelines using standard Big Data technologies (YARN, Spark, Airflow, etc).
Provide the underlying infrastructure (DevOps).
Cultivate an expanding understanding of the business problems we solve.

REQUIREMENTS

0-4 years of job experience - fresh graduates are welcome
We value education! Ideal candidates will hold a BS or Master's degree in a relevant field (Computer Science, Software Engineering, or similar)
Top-of-class grades in university
Competence in SQL and Python
Experience in data science
Strong problem-solving and communication skills will be needed

Bonus points if you also have

Experience in AWS/GCP, Airflow or Spark. Don’t worry if these platforms are new to you, you will have the opportunity to learn everything.
Solid experience in Python or SQL.

WHAT WE OFFER

Opportunity to learn industry-standard data engineering tools and platforms using state-of-the-art tech stack
Create innovative data pipeline solutions and enhance your skills to become a top expert
Work with large multinational clients globally. If you enjoy traveling around the globe, you will have the opportunity to do so
Be a member of a very strong team including senior technology experts, mathematicians, ex-Googlers, Ivy League professors and telecommunications industry experts
Startup atmosphere - collaborative company culture, openness for innovation, direct access to company management, remote working
Compensation significantly above the market average.

Sounds interesting? Apply now for a unique chance to learn, grow, and work with a diverse international team.

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Junior Data Engineer (Hong Kong)

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