Data Engineer – Healthcare
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Job Description
Data Engineer designing and maintaining scalable data platforms using AWS at Experian. Collaborating with cross-functional teams to support analytics and machine learning projects.
Responsibilities:
- Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases
- Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions
- Ensure data quality, performance, and cost efficiency across the platform
- Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow
- Design and manage lakehouse architectures, using technologies like Apache Iceberg and Glue Catalog
- Support machine learning and LLM projects by preparing and delivering datasets for use in Amazon SageMaker and Amazon Bedrock
Requirements:
- 3+ years of experience in data engineering or related roles
- 3+ years experience with Python and SQL
- 3+ years hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience building and maintaining scalable batch data pipelines
- Experience working with data lakes or lakehouse architectures
- Experience with Apache Spark and EMR
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline
Benefits:
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
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