Proven AI Platform for Casualty Insurance Claims
workers' compensation • occupational injuries • insurtech • data science • predictive analytics
51 - 200
2 days ago
Airflow
Amazon Redshift
Apache
AWS
Cloud
DynamoDB
ElasticSearch
ETL
Google Cloud Platform
Informatica
Java
MySQL
NoSQL
Postgres
PySpark
Python
Scala
Spark
SQL
Proven AI Platform for Casualty Insurance Claims
workers' compensation • occupational injuries • insurtech • data science • predictive analytics
51 - 200
• Clara Analytics is looking for an experienced Senior Data Engineer. • Help provide technical leadership in Clara’s data engineering team. • Use data tools like AWS Redshift, AWS Sagemaker, AWS Athena/Presto, AWS EMR, and Spark/pyspark. • Build robust data processing pipelines using Airflow, Kubeflow/MLFlow or similar. • Design and architect new product features and mentor the team in adoption of technologies. • Collaborate with Data Science and analysts team for data processing.
• 7+ years’ experience in software engineering, building large scale systems. • Highly proficient with Redshift, RDS, Apache Spark, Hive. • SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch. • Workflow management tools like Airflow. • AWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR. • Strong programming skills in at least one of Java, Scala, Python, and/or C++. • Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques. • Experience implementing software around data processing, metadata management, ETL pipeline tools like Airflow. • Experience working with cross-functional teams in a fast-paced environment. • Ability to translate data needs into detailed functional and technical designs for development, testing and implementation. • Ability to serve as a liaison between technical, quality assurance and non-technical stakeholders throughout the development and deployment process.
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