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Sr. Data Engineer/Lead
1 month ago
Location: Remote
Duration: Long Term
Description:
Required Qualifications:
BS in Computer Science or Engineering, or a related technical field
• Integrate third-party APIs, and the ability to understand them in several formats
• 5+ years of Expertise writing production grade code in Python, Kafka, Spark,
Scala and/or Java.
• Data build tools (DBT) have good experience.
• Coding experience in shipping/Devops complex software to production
• Expertise in data structures, algorithms, performance and scalability
• Knowledge of high-scale performance and optimization tools and techniques
• Desire to learn functional programming, specifically in Python/Java, as it is our
primary development language
• Able to drive ELT solutions across the AWS consumption Stack(Athena, Glue)
Preferred Qualifications:
• Experience with Kafka, Spark, Apache Airflow and Kubernates (Docker and containers)
• Understanding of fault-tolerant systems, network programming, multithreaded
programming, and security
• Experience with distributed systems and application design in a SOA environment
• Experience with AWS and/or Azure (configuring, deploying, managing) services and
distributed applications
• experience working with healthcare data (EMR Clinical data, Claims from variety of
payers, etc.)
• 3+ years of experience working with, analyzing, and understanding data using SQL
• Experience with Python a must
• Experience with Databricks a plus
• Experience with recommendations, predictions, personalization and machine learning,
A/B testing, Spark, Kafka, and MongoDB
• Experience with healthcare data experience (FHIR, Claims, Eligibility, RX)
• Experience with Python spark/Scala/Jav must
• Experience with Bigdata Solutions a must.