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Job Summary


Job Type
Permanent

Seniority
Mid

Years of Experience
At least 3 years

Tech Stacks
Graph
CI
Luigi
HDFS
UNIX
Git
Hive
Spark
Airflow
SQL
Hadoop
Linux
Python

Job Description


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  • Organise, build and maintain data stores (e.g., Hadoop, Hive, Graph data-stores) of structured and unstructured data (e.g., text, customer transactional data, work-flow/ticket/log data)
  • Build data pipelines to enable scalable processing of large volumes of data
  • Support data optimisation of real-time and batch Machine Learning models
  • Explore advanced data engineering techniques e.g., graph query engine
  • Work with stakeholders to identify and solve business needs related to advanced data processing
Job Qualifications

Requirements

  • Bachelor’s Degree in Statistics, Mathematics, Computer Science or area with strong quantitative content
  • At least 3 years of working experience in data science / data engineering (or equivalent)
  • Strong knowledge and experience in building and maintaining scalable data pipelines
  • Fluency in Python, Spark, HIVE-QL, Hadoop eco-system, data-centric workflow management tools (e.g., Airflow, Luigi etc ), Unix/Linux/HDFS environments
  • Proficiency in SQL and RDBMS
  • Good working knowledge of Git and CI/CD pipelines
  • Experience in Graph database desirable but not mandatory

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