Platform Engineer

4 weeks ago


Singapore WESTPAC BANKING CORPORATION Full time
Roles & Responsibilities

  • The ideal candidate(s) should have 6-10 years of hands-on data engineering expertise and experienced in building at least one python / spark / scala based data ingestion, transformation, and egress framework
  • Working experience on Data Lake Implementations on Azure cloud / BigData technologies
  • Cloud experience in one or more of Azure, AWS or GCP environment
  • Expertise with modern data warehouse design patterns and tools
  • Good understanding of data architecture principles including data modelling
  • Should be able to tune Spark and Scala jobs for performance
  • Deep understanding of distributed computing systems
  • Should be familiar with Data Warehousing concepts and physical Data modelling techniques
  • Able to stitch together a Real-time, Streaming, kappa and lambda solution
  • Proficient with the Big data tools/technologies like Hive, Hadoop, Yarn, Kafka, Spark Streaming
  • Experience in AZURE cloud data technologies (ADLS2, CosmosDB, AKS, AEH, ADF, Synapse)
  • Familiar working with DevSecOps tools, methodologies - CI/CD (i.e., Jenkins, bitbucket, GitHub), Azure DevOps i.e best practices for code deployment
  • The ideal candidate should have hands-on experience working with cloud service models, including SaaS, PaaS, and IaaS
  • Proficiency in Infrastructure as Code (IaC) using Terraform is essential
  • Experience with Chef configuration management is highly desirable
  • Implement and enforce cloud security best practices, ensuring data privacy, compliance, and efficient governance through robust identity management, encryption, and monitoring frameworks
  • Working knowledge in job Orchestration (Control-M, Airflow)
  • Work with Architects, Technical Leads and Business Teams and contributes to the development of technical designs
  • Strong knowledge of various data structures and the ability to extract data from various data sources
  • Provides technical database consultation on application development, global infrastructure, and other database administration efforts related to specific DBMS
  • Experience in writing complex SQL queries preferred
  • Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
  • Good temperament - buildings relationships and stakeholder management skills with an ability to interact with a diverse group of stakeholders and proactively provide actionable data

Tell employers what skills you have

Airflow
Scala
Azure
Big Data
Data Structures
Identity Management
Hadoop
Application Development
Data Engineering
SQL
Database Administration
Python
SaaS
Cataloguing
GCP
Orchestration
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