Job Description :
You can direct apply here:
https://youngsoft. secure. force. com/apex/NrichForm?templateId=a1F3n000003Kaqz&jo bid=a0t3n00000CNWdP&sourcetype=TechFetch

Additional key pieces:
a. Experience with Epic Healthcare Data
b. ETL experience using SQL Server / SSIS

Capitalizing on the vast amount of patient data collected to make the patient medical journey a personalized experience. We are seeking data engineers to design and scale databases to support a robust analytical pipeline. The job will promote collaboration between data scientists, data architects, business analysts and clinicians to support user access to data and data infrastructure. The data engineer will play a role in integrating advanced machine learning models into production with continuous integration. The role will require a general understanding of the healthcare system to for data integration across multiple data sources.

Scope of responsibilities
Collaborate with data scientists and business users to build the frameworks required to integrate data pipelines and machine learning models with operations
Maintain database structure and standardize definitions for business users across the company
Clean and verify quality of data prior to feature engineering and advanced analytical modeling
Build unit tests for continuous integration
Work with data architects to build the foundational Extract/Load/Transform processes
Support business users and clinicians in identifying the correct data sets and providing easy to use tools to pull data


Required skills and competencies
Ability to write production-level code in one of the following languages: Python, Hive, Pig, Shell Scripting, SQL, Java or Scala
Ability to structure databases in one of the following platforms: Hadoop, Spark, Oracle/Teradata
Proficiency leveraging the following Big Data technologies to support downstream advanced analytical modeling: Map-Reduce, Spark, Airflow/Oozie, Kafka, Hbase, Pig, No-SQL Databases

Familiarity with data architecture, modelling and security

Qualifications-required
3+ years structuring databases and working with big data
5+ years writing code in relevant languages

Qualifications-preferred
Experience working in agile, sprint-based approach
1+ year working in healthcare or related field
Familiarity with cloud computing clusters

Education
Bachelor's Degree in computer science, mathematics, statistics or related field with 2+ years industry experience