Data Engineer

• 4+ Years of hands-on, progressive experience in Cloud Data Engineering, Data Architecture
• Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management
• Insurance industry experience preferred but not mandatory
• Tools:
  • Cloud Environment: AWS (S3, IAM, VPC, Glue, Lambda etc.)
  • Experience with dbt Core, Iceberg, AWS Glue Catalog, AWS lambda, Redshift, Athena, Splunk, AmazonQ, AWS streaming services, Git
  • Strong SQL, Pyspark and Python

Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.

Bachelor's/Master's in Engineering 2-5 years