Python intern(Healthcare domain)

Python Intern(healthcare)100% remote(within USA...Contract-4monthsC2CLooking for OPT candidatesNLP experience such as using NLTK or SpaCy or other such NLP librariesHandling data integration, preprocessing, and database management. Need someone to define data models; define business objects and defining the relationships (matching patient identifiers de-identification, mapping etc.; factor in EHR workflow data integrations)
• Design and build scalable, reliable, and efficient data pipelines using Python, SQL, AWS, and Linux.
• Develop and maintain data warehouses and other data-related infrastructure.
• Collaborate with data scientists, analysts, and other stakeholders to ensure that data engineering solutions meet business requirements.
• Mentor and train team members to ensure high-quality deliverables.
• Continuously drive innovation and best practices in data engineering.
• Collaborate with cross-functional teams to identify and resolve data-related issues.
• Perform code reviews and ensure code quality.
• Provide technical guidance and leadership to the team.
• Bachelor's or Master's degree in Computer Science or related field.
• 0-2 years of experience in data engineering, with a focus on designing and building scalable, reliable, and efficient data pipelines.
• Strong expertise in Python and SQL.
• Experience with AWS services such as S3, Redshift, Glue, and EMR.
• Strong Linux skills.
• Experience with distributed systems and big data technologies such as Hadoop, Spark, and Kafka.
• Experience leading and mentoring a team of data engineers.
• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and manage multiple priorities.
• Strong problem-solving skills and attention to detail.
• Solid understanding of programming SQL objects (procedures, triggers, views, functions) in SQL Server. Experience optimizing SQL queries a plus.
• Working Knowledge of Azure Architecture, Data Lake
• Advanced understanding of T-SQL, indexes, stored procedures, triggers, functions, views, etc.
• Must be detail-oriented. Must work under limited supervision. Must demonstrate good analytical skills as it relates to data identification and mapping and excellent oral communication skills. Must be flexible and able to multi-task and be able to work within deadlines; must be team-oriented, but also be able to work independently

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