Posted on Aug 03 2017 (about 3 years ago)
The company has a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. It’s a fast paced environment where your performance makes the difference.
Being a member of the Metareview, you will be working in a cross-discipline delivery team focused on one of many core data products.
Gather and process raw data at scale using frameworks such as Hadoop MR and Spark.
Maintain and write new data processing pipelines handling hundreds of GB of data.
Optimize and improve existing features or data processes for performance and stability
Apply machine learning algorithms to improve our product and drive decisions
3+ years of experience building data intensive applications.
Very strong programming and architectural experience, ideally in Python, Java or Scala but we are open to other experience if you would like to become a Python hacker.
You find creative solutions to tough problems. You are not only a great developer, you are also an architect who is not afraid to pave the way for bigger and better things.
Experience and skills to clean and scrub noisy datasets.
Experience building data pipelines and ETLs using MapReduce, Spark or Flink.
Good to have:
Expert-level knowledge in Python. Experience in frameworks such as Pandas, Scikit-learn, Scipy, Luigi / Airflow is a plus.
Love for the command line with optional affinity for Linux scripting
Experience with Big data technologies (Hadoop, Spark, Flink, Hive, Impala, HBase, Pig, Redshift, Kafka)
Experience building scalable REST-APIs using Python or similar technologies.
Experience with data mining, machine learning, natural language processing or information retrieval is a plus.
Experience with AWS or other IaaS/PaaS.
Experience with Agile Methodologies such as Scrum or Kanban
You will be part of an international, talented and motivated team that uses their combined knowledge of machine learning, natural language processing and big data technologies to build the TrustYou Meta-Review.
We are looking for a candidate who enjoy researching, prototyping and finetuning algorithms to solve novel problems. The engineers of the Company are willing to walk the extra mile to make sure our solution is not only good, but great and beneficial for millions of travelers.
Have a nice day!