
Lead Data Engineer
Swiss Re
full-time
Posted on:
Location Type: Office
Location: Bangalore • India
Visit company websiteExplore more
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