Job Description
Description - 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 Responsibilities Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders. Qualifications Bachelor's/Master's in Engineering 2-5 years
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