Senior Python Developer, Data Engineering
New
R
RecruityTalentData engineering
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLDynamoDBKafkaSpark
Requirements
- Demonstrate strong proficiency in Python and SQL.
- Have experience with Spark or similar distributed processing technologies.
- Have deep experience with AWS data services, including Glue, S3, Step Functions, Athena, EMR, DynamoDB, and SQS.
- Have experience with data streaming technologies such as Kafka or Spark Streaming.
- Have experience in data modeling, preferably in finance or insurance.
- Be familiar with MongoDB and document-oriented data sources.
- Have experience with data lake patterns, including medallion architecture, schema management, and incremental processing.
- Be comfortable with infrastructure as code using CloudFormation or Terraform.
- Be able to debug data quality issues across distributed systems.
- Have experience implementing data quality frameworks such as Great Expectations.
- Experience in subrogation, claims processing, insurance, or financial technology is a plus.
Responsibilities
- Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets.
- Partner with Markets and Product teams to develop reporting tools and dashboards.
- Build and maintain data lakes and feature stores used by the ML Engineering team to develop ML solutions for subrogation.
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