Développeur principal de données (ingénierie)
Core
Designing and implementing large-scale production ETL/ELT pipelines and data models for a master data management platform serving brokers and distributors.
Role type
Principal Data Engineer (Infrastructure & Pipelines)
Builds
Multi-layer data lake, production ETL/ELT pipelines, and master data management platform
Domain
Insurance / Financial Services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, Java, SQL, AWS, Data Modeling, ETL/ELT, Data Migration, CI/CD, Data Quality, Infrastructure as Code
Preferred skills
AWS Glue, EMR, Step Functions, Athena, Spark, PySpark, Scala, Informatica, Talend, Control-M
Responsibilities
Design and validate target data models including hierarchies, effective dates, and versioning; Develop and operate batch and incremental ETL/ELT pipelines in AWS; Configure pipelines for low-code integration, idempotent execution, and error handling; Lead data extraction, profiling, cleaning, normalization, and reconciliation; Convert business rules into automated data quality controls; Establish unit, integration, and automated data tests; Mentor the team on technical practices and code reviews.
Seniority
Principal, hands-on IC with leadership
