Posted on 2022-08-11

Azure Data Engineer x 1

Pacific Careers

Ref: CMI2208029

Requirement :

Job No.: CMITBD - 573

Client: Out Client is international Vendor and Consultancy Company.

Key Technical Skills / Domain knowledge:
Azure/ Data

Project Type / Client:

Budget / Monthly Salary:
Max: HKD46.5K (Negotiable)

Skill(s) Requirement:
Must have
  • Hands-on experience in Azure Cloud data services, such as: Azure data factory, Azure SQL, Azure Synapse, Azure Databricks

  • Experience in handling sizable data warehouse

  • Experience in implementing ETL / data streaming for data analytic, such as pySpark, Kafka

  • Nice to have
  • Big data platform technologies such as Hadoop, Hive, Spark, Cassandra, HBase

  • Infrastructure as code experience, such as Azure Resource Manager, Terraform

  • Experience in utilizing workflow engines such as: Apache Airflow, Azure Logic Apps

  • DevOps tooling, such as Ansible and Jenkins

  • Previous experience in data science or machine learning related project is a plus

  • Previous experience in working with offshore team

  • Other Requirements
  • 5 years or more hands on experience in implementing data analytic related systems

  • Able to perform required tasks with minimal supervision

  • Good command of written and spoke English, with strong communication skills to work with partners globally

  • Role & Responsibilitie:
  • Design and implement data pipeline in cloud environment.

  • Understand data schema of available data sources

  • Utilize technologies such as workflow engine to automate data transfer from sources to destination

  • Design suitable data schema for the data warehouse to enable efficient query and retrieval of data for analytic purposes

  • Automate & implement CI/CD delivery pipeline

  • Automate collection and processing of data on the data pipeline

  • Work Location:
    Quarry Bay/Client Site

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    More job information
    • 45,000 - 55,000 / month
    Job Function
    • Quarry Bay
    Employment Term
    • Permanent
    • Full-time
    • 5 years - 10 years
    Career Level
    • Non-management level
    • N/A