Zurich Insurance

Junior Data Engineer

Zurich Insurance

full-time

Posted on:

Location Type: Office

Location: Kuala LumpurMalaysia

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Job Level

Tech Stack

About the role

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet business requirements
  • Identify, design, and implement internal process improvements
  • Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure
  • Work together with data scientists and analysts to create effective data workflows
  • Create and maintain data storage solutions including Azure SQL Database and Azure Data Lake
  • Create and maintain ETL operations using Azure Data Factory
  • Implement data validation and cleansing procedures
  • Improve the scalability, efficiency, and cost-effectiveness of data pipelines
  • Build analytics tools that utilize the data pipeline
  • Work with stakeholders to assist with data-related technical issues

Requirements

  • 2-3 years of experience in a Data Engineer role
  • Advanced working SQL knowledge and experience working with relational databases
  • Experience building and optimizing ‘big data’ data pipelines
  • Experience performing root cause analysis on data and processes
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • A successful history of manipulating, processing and extracting value from large datasets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Project management and organizational skills
  • Experience supporting and working with cross-functional teams
Benefits
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data pipeline architecturedata ingestiondata processingdata transformationETL operationsSQLbig datadata validationdata cleansingdata structures
Soft skills
analytical skillsproject managementorganizational skillscollaborationproblem-solving