Junior Data Engineer (Hong Kong)

COMPANY OVERVIEW Lynx Analytics was established in 2010 by a team of INSEAD students and professors possessing a robust research history in graph analytics. Several founding members have since become professors and faculty directors of analytics centers at leading US universities. The company was formed with an aim to apply graph theory for simplifying and resolving intricate business problems in the real world. As the years passed, our mission evolved, and we now offer a variety of advanced data analytics and AI solutions designed to assist businesses transform their operations and optimize their commercial performance. We aimed to extend the reach of graph theory, which was predominantly exclusive to social networking sites, to enable companies unlock more growth by tapping into their communities. Lynx has branches in Singapore, US, Hong Kong, Hungary, and operates in various other countries including Canada, Germany, and Indonesia. We partner with some of the world's largest organizations, constantly striving to expand our knowledge and geographical reach. Lynx Analytics’ technology has been implemented with multiple international Clients and has remarkable growth potential. Our global team is diverse and inclusive, comprising Professors, Ph.D.s, MSc's, and MBAs from Ivy Leagues, INSEAD, and NUS with a wide range of experience in startups and blue-chip companies like Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph, and many more. Our unique value proposition is driven by our industry insight, experience, scalable proprietary technology, and highly qualified personnel. We are in search of ambitious, innovative, empathetic, and persevering individuals to explore the career opportunities we offer as we continue to expand our operations. KEY RESPONSIBILITIES As a Junior Data Engineer, you will be responsible for implementing and deploying data analysis pipelines (also known as ETL) at various Lynx Analytics clients. In this role, you will: - Collaborate with our senior data engineers/scientists and progressively transition towards independent project delivery. - Identify the existing data sources from the client pertinent to the problem we are solving. This entails discussions with client IT, data owners, future business users, and so on. - Take part in the decision-making process for the technical architecture of the ETL solution. - Develop the data ingestion subsystem: the system tasked with transferring all necessary data sources to one location where the actual analysis will be conducted. - Implement the data analysis pipelines using standard Big Data technologies (YARN, Spark, Airflow, etc). - Provide the underlying infrastructure (DevOps). - Develop an increasing understanding of the business problems we resolve. REQUIREMENTS - 0-4 years of work experience - recent graduates are welcome - We value education! Ideal candidates will possess a BS or Master's degree in a relevant field (Computer Science, Software Engineering, or similar) - Excellent academic grades in university - Proficient in SQL and Python - Experience in data science - Strong problem-solving and communication skills are essential Bonus points if you also have - Experience in AWS/GCP, Airflow or Spark. If you're unfamiliar with these platforms, you'll get the chance to learn everything. - Solid experience in Python or SQL. WHAT WE OFFER - Opportunity to learn industry-standard data engineering tools and platforms using a state-of-the-art tech stack - Develop innovative data pipeline solutions and enhance your skills to become a top expert - Collaborate with large multinational clients globally. If you love traveling around the world, this is your golden opportunity. - Be a part of a highly skilled team including seasoned 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, and remote working. - Compensation significantly above the market average. Sounds intriguing? Apply now for an exclusive opportunity to learn, grow, and work with a diverse international team.