Jobs

Data Scientist

Job Description

  • Defining project requirements, building SQL/HIVE databases, job automation, using analytical tools to find trends and predictive characteristics, developing and automating reports, data visualization, and exploring new analytical and big data tools.
  • The candidate must possess clear communicative skills to work in a highly collaborative and fast-paced team environment.
  • A successful candidate must have the ability to understand complex business problems to ensure projects are leveraging the appropriate technology and analytical tools in the delivery of a comprehensive solution.

Basic Qualifications

  • Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics or a related field
  • 1+ year of experience in a data-oriented role working in a multi-disciplinary team

Preferred Qualifications

  • Master’s Degree in Computer Science, Engineering, Mathematics, Statistics or a related field
  • Have familiarity and experience with tools like Python, Hadoop, TensorFlow, scikit-learn, SQL, d3.js, map-reduce, Tableau or R
  • Previous experience in working with and building for location aware services and familiarity with web service development and API integration with multiple systems
  • Have a portfolio of open source contributions, personal projects, presentations, or other things that show that you are passionate about a subject, took some initiative to learn about it, and applied it to a real problem

Data Engineer

Job Description

  • Design, build, optimize, launch and support new and existing data models and ETL processes in production
  • Interface with engineers, product managers and product analysts to understand data needs.
  • Manage and verify data accuracy for Hadoop cluster.
  • Responsible for support of Hadoop cluster environment which includes Hive, Spark, Hbase, Presto, etc.

Basic Qualifications

  • BS degree or equivalent experience in Computer Science or related field
  • 2+ years experience in custom ETL design, implementation and maintenance on Hadoop clusters
  • 2+ years on hand-on development coding
  • Understanding of Hadoop ecosystem such as HDFS, YARN, MapReduce, Zookeeper, Kafka, HBase, Spark and Hive
  • Strong SQL skills, especially in the area of data aggregation
  • Good understanding of distributed system, basic mathematics such as statistics and probability
  • Comfortable with Git version control

Preferred Qualifications

  • At least 2 years’ experience of architecture and design infrastructure on AWS
  • Experience building real-world data pipelines
  • Automation skills such as Airflow, Python and Bash code
  • Experience with A/B testing environment
  • Experience with analytics tools like R, Matlab
  • Strong Java or Scala skills

แชร์ให้เพื่อน: