Python intern(Healthcare domain)
Remote, USA
Full-time
Posted 2025-03-14
- 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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