Swiss Re

Lead Data Engineer

Swiss Re

full-time

Posted on:

Location Type: Office

Location: BangaloreIndia

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Job Level

About the role

  • Responsible for a team of data engineers in designing and implementing complex data pipelines and analytics solutions to support key decision-making business processes
  • Work closely with Product Owners and business analysts to understand requirements, formulate solutions, and evaluate the implementation effort
  • Design, develop and maintain scalable data transformation pipelines
  • Deliver scalable data solutions leveraging PySpark, Python and enterprise data platforms
  • Evaluate new capabilities of the analytics platform, develop prototypes, and contribute to building a single source of truth for our application landscape
  • Collaborate within a global development team to design and deliver solutions
  • Assist stakeholders with data-related functional and technical issues
  • Working with data governance platform for data management and stewardship

Requirements

  • Bachelor's degree level or equivalent in Computer Science, Data Science or related field
  • ~12+ of experience working with large-scale software systems
  • Strong expertise in PySpark (minimum 3 years, preferably more) and SQL (Spark SQL preferred)
  • Proven experience designing and delivering large-scale data engineering solutions on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
  • Solid understanding of data management fundamentals, including data modeling, ETL, data lakes, and warehousing
  • Experience with Scrum/Agile development methodologies
  • Strong analytical and problem-solving skills; self-starter with a positive attitude and ability to manage own workload
  • Proven experience working with a diverse multi-location team of internal and external professionals
  • Proven experience leading and mentoring engineers, fostering technical growth and knowledge sharing
  • Excellent interpersonal and communication skills, with the ability to engage business stakeholders, justify architectural decisions, and explain complex technical solutions in clear business terms
  • Ability and enthusiasm to work in a global and multicultural environment
  • Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus
Benefits
  • Flexible working arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

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

Hard skills
PySparkPythonSQLdata transformationdata engineeringdata modelingETLdata lakesdata warehousingdistributed computing
Soft skills
analytical skillsproblem-solving skillsself-starterpositive attitudeworkload managementleadershipmentoringinterpersonal skillscommunication skillscollaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data Science