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Data Engineer

Posted 
2022-03-11
Job Function:
Information Technology, Engineering
Industries:
Insurance
Contact Recruiter:
Brandon Wright

Key Accountabilities & Specific Activities

  • Designing & Modelling
    (with minimal supervision)
    ・Build the first iterations of high quality and sustainable data pipelines and ETL processes to extract data from a variety of APIs and relational databases and ingest into AWS services.
    ・Efficiently draft complex SQL queries and data models to aggregate and transform data for reporting and analytics teams.
  • Execution and Maintenance
    (with minimal supervision)
    ・Monitor existing solutions and work proactively to rapidly resolve errors and identify future problems before they occur.
    ・Own and keep the system design and operations documents up to date.
  • Others
    ・ Consult with a variety of stakeholders to gather new project requirements and transform these into well-defined tasks and targets.
  • Relations with other departments
    ・ Mainly IT teams (Enterprise Data, Data Strategy, Architecture), Finance, Marketing etc.
Contact Recruiter:
Brandon Wright
Posted 
2022-03-11
Job Function:
Information Technology, Engineering
Industries:
Insurance

Requirements
(1): Technical Skills, Job Experiences
【Minimum qualifications (Must Have)】

  • 3 years of practical experience in data / analytics with at least 1 year working in an engineering / BI role.
  • At least 1 year of practical experience working on data pipelines or analytics projects with Python and
    SQL.

【Preferred qualifications】

  • 5 years of practical experience in data / analytics with at least 2 years working in an engineering / BI role.
  • Experience with NoSQL databases (DynamoDB, MongoDB, Elasticsearch, Redis, Neo4j, etc.)
  • Strong knowledge and practical experience working with at least 3 of the following AWS services: S3, EMR, ECS/EC2, Lambda, Glue, Athena, Kinesis/Spark Streaming, Step Functions, CloudWatch, DynamoDB.
  •  Strong experience working with data processing and ETL systems such as Oozie, Airflow, Azkaban, Luigi, SSIS.
  • Experience developing solutions inside a Hadoop stack using tools such as Hive, Spark, Storm, Kafka, Ambari, Hue, etc.
  • Ability to work with large volumes of both raw and processed data in a variety of formats (JSON, CSV, Parquet, ORC, etc.).
  • Ability to work in a Linux/Unix environment (predominantly via EMR & AWS CLI / HDFS).
  • Experience with DevOps tools (Jenkins, GitHub, Ansible, Docker, Kubernetes).

(2): Behavioural Skills

  • Able to effectively communicate with internal and external technical and user teams.
  • Capability to make complex ideas accessible
  • Fast adaptability, Self-starter, autonomous
  • Focused on solving problems
  • Result-oriented

(3): Certificate, Education Background

  • Master’s degree level in computer science field (or equivalent experience)

(4): Language Skills

  • English (mandatory): Basic English skills for communication especially writing skill. It will be the main working language.
  • Japanese (mandatory)

Good to have: (if any)

  • Candidates with strong Python, SQL skills and experience with data modelling in a cloud environment are encouraged to apply.
  • The client works mainly with AWS but candidates with relevant GCP, Azure or Databricks
  • Python and SQL skills are absolute must have requirements for this position.

Interested parties please send your application to our recruiter via email directly and quote the job reference number if any.

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