Swiss Re

Data Architect II

Swiss Re

full-time

Posted on:

Location Type: Office

Location: Bangalore • India

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Tech Stack

AzureCloudOraclePySparkPythonSOAPSparkSQLTypeScript

About the role

  • Design and implement data storage solutions including data lakes and data warehouses
  • Develop and maintain robust data pipelines to extract, transform, and load data from various source systems
  • Create and manage data models to support analytical and operational requirements
  • Optimize data storage and processing for performance, cost, and reliability
  • Collaborate with business stakeholders to understand requirements and provide efficient solutions
  • Integrate data from multiple sources, including APIs, databases, and external data providers
  • Ensure data quality and integrity through validation and transformation processes
  • Document data engineering processes, systems, and standards
  • Monitor and optimize the performance of data systems and pipelines
  • Promote best practices for data management and engineering
  • Partner with Product Owners and Engineering Leads to build target architectures and improve business processes

Requirements

  • Bachelor's or Master's degree in a quantitative field such as Computer Science, Mathematics, Engineering, or Statistics
  • 4-6 years of experience designing and implementing end-to-end data pipelines, data models, and analytical dashboards
  • Strong programming skills with proficiency in Python, PySpark, SQL, and TypeScript
  • Experience with data visualization tools like Palantir Workshop, Slate, and Contour
  • Proficiency in Spark-based data lake design and operations
  • Experience with integration technologies including REST/SOAP APIs and event-based architecture
  • Palantir certification, Azure Data Engineering certification, or AI-102 Azure AI Engineer certification (nice to have)
  • Experience with relational databases such as Oracle and Azure SQL
  • Familiarity with cloud platforms (particularly Azure) and their data services
  • Experience with data modeling and schema design
  • Strong interpersonal, written, and verbal communication skills
  • Ability to explain technical concepts to non-technical audiences
  • Experience working in Agile/Scrum environments
Benefits
  • None specified 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

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Hard Skills & Tools
data storage solutionsdata lakesdata warehousesdata pipelinesdata modelsdata qualitydata transformationPythonPySparkSQL
Soft Skills
interpersonal skillswritten communicationverbal communicationcollaborationproblem-solvingexplanation of technical conceptsstakeholder engagementbest practices promotiondocumentationAgile/Scrum experience
Certifications
Palantir certificationAzure Data Engineering certificationAI-102 Azure AI Engineer certification