(Senior) Machine Learning Engineer at Lynk Global
Hong Kong, Hong Kong
🇭🇰 (Posted Jun 6 2018)
About the company
Lynk was founded with a mission to democratize access to knowledge, by leveraging proprietary technology and employing high calibre people, from a diverse range of backgrounds. We are challenging the ‘traditional’ Expert network business model, to cultivate a community of users
We connect world class experts to users seeking their knowledge, and insights. Whether users have a quick question, or need an extended engagement, we can find the right person to help
LYNK is a VC-backed, product-driven startup working with leading institutional clients, top level experts and thought leaders globally
We operate in a high-octane environment where our people think about the big picture and always strive to “make it happen”
Our team, spread across four countries today (and growing!), is multinational, multilingual and multicultural. Our clients have likened us to a mini United Nations.
You will be constantly challenged with new problems to solve every day.
We are here to realize big dreams and have a firm belief in our core mission – to democratize access to knowledge.
What You’ll Do:
Build Data Pipelines that clean, transform and aggregate data into databases and adopt data warehouse solutions in AWS Redshift
Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, writing applications, etc.).
Develop data pipelines that unify various data sources into one cohesive platform for data access.
Define key operating metrics, develop related analyses, perform data modelling
Work on the optimization and development of channel performance
Implement the Analytics data stack using AWS EC2, S3 (distributed data lake), Elastic Map Reduce (computation cluster), Data Pipeline (job management in Spark (Scala) on Hadoop, using Avro and Parquet) and Redshift (columnar data warehouse), and Google Big Query and CloudStorage.
Skills & requirements
What Expertise You’ll Add To The Team:
Bachelor's Degree holder in Computer Science, Mathematics, Physics or equivalent experience
Experienced data engineering (4+ years of exp) with cloud technologies such as AWS Redshift, EMR and S3 (Less experienced candidate would be considered for Data Engineer)
Experienced with NoSQL databases (MongoDB or PostgresDB preferred)
Experienced in data extraction using SQL. ETL experience and expertise with Linux/Unix.
Experienced in debugging of complex systems for processing event based logs and user logs
Experienced in Database scalability techniques and Parallel ETL flows
Experienced in Computer Science (algorithm, operating systems etc.), Scripting language (Python, Perl etc.) and Functional Programming.
Strong passion for creative content curation and building brand awareness
Passion for business and enthusiastic about taking part in shaping LYNK’s growth
Function well in a very fast-paced startup environment
Track record of excelling in small teams
Team players who thrive in uncertainty and like to “make things happen”!
Instructions how to apply
see the website
[ job website
Let them know you found the job via https://Jobhunt.ai
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