Overview
Remote
Accepts corp to corp applications
Contract - 12 month(s)
Skills
ETL
Python
Spark
S3
Data Engineer
Job Details
Job Title: Sr. Data Engineer w/ Healthcare
Location: Remote
Duration: 12+months
Required Skills:
- 9+ Years overall IT experience with minimum 4 years of work experience in below tech skills
Tech Skills:
- Proficient in Python scripting and Spark for data processing tasks.
- Strong SQL capabilities, with hands-on experience managing big data using ETL tools like Informatica.
- Experience with the AWS cloud platform and its data services, including S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, and Event Bridge.
- Skilled in BASH/Shell scripting.
- Understanding of data Lakehouse architecture, particularly with Iceberg format, is a plus.
Preferred:
- Experience with Kafka and MuleSoft API.
- Understanding of healthcare data systems is a plus.
- Experience in Agile methodologies.
- Strong analytical and problem-solving skills.
- Effective communication and teamwork abilities.
Responsibilities:
- Develop and maintain data pipelines and ETL processes to manage large-scale datasets.
- Collaborate to design & test data architectures to align with business needs.
- Implement and optimize data models for efficient querying and reporting.
- Assist in the development and maintenance of data quality checks and monitoring processes.
- Support the creation of data solutions that enable analytical capabilities.
- Contribute to aligning data architecture with overall organizational solutions.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.