Swiss Re

Data Engineer I

Swiss Re

full-time

Posted on:

Location Type: Hybrid

Location: HyderabadIndia

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About the role

  • Design and implement data pipelines to efficiently extract, transform, and load (ETL) data from various sources into a central data lake using Azure Data Factory and Azure Databricks
  • Transform and process data using Python, PySpark, and SQL to create valuable insights
  • Collaborate with peers and senior team members to optimize data processes and solve complex challenges
  • Ensure data quality by performing thorough checks and troubleshooting issues
  • Apply best practices in data engineering for reliability and performance
  • Optimize pipelines for maximum efficiency and cost-effectiveness
  • Document comprehensively and maintain data mapping across multiple systems
  • Provide hands-on troubleshooting and consulting for data challenges when needed
  • Perform basic unit testing to maintain data quality standards

Requirements

  • Bachelor's or master's degree in computer science, information technology, or a related field
  • Approximately 2-3 years of experience in a data-related role, preferably data engineering
  • Hands-on expertise with programming languages such as Python, PySpark, and SQL
  • Working knowledge of data processing frameworks or ETL tools like Azure Data Factory and Azure Databricks
  • Experience with Azure DevOps or similar CI/CD tools
  • Experience in agile software engineering methodologies (nice to have)
  • Strong analytical and problem-solving skills to tackle complex data challenges (nice to have)
  • Excellent interpersonal and communication skills, both written and verbal (nice to have)
  • Meticulous attention to detail and commitment to data accuracy (nice to have)
  • Knowledge of AI tools like CoPilot, ChatGPT, etc. (nice to have)
  • Eagerness to learn and collaborate with team members (nice to have)
Benefits
  • hybrid work model where expectation is to be in office at least three days per week
Applicant Tracking System Keywords

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

Hard Skills & Tools
PythonPySparkSQLETLdata engineeringdata processingunit testingdata qualitydata mappingdata transformation
Soft Skills
analytical skillsproblem-solving skillsinterpersonal skillscommunication skillsattention to detailcollaborationcommitment to accuracytroubleshootingdocumentationoptimization
Certifications
Bachelor's degreeMaster's degree