Found Description
- Data Engineer
Skill - Python, PySpark, AWS, SQL
Minimum Qualifications:
7+ Years overall IT experience with minimum 5 years of work experience in below tech skills
Tech Skills:
Strong experience in Python Scripting and PySpark for data processing
Proficiency in SQL, dealing with big data processing
Proven experience in data processing for data lake in Iceberg format, with strong understanding of architecture
Experience in AWS Glue jobs
Experience in AWS cloud platform and its data services (S3, Redshift, Lambda,EMR, Airflow, Postgres, SNS, Event bridge)
Expertise in BASH/Shell scripting
Strong understanding of healthcare Finance systems and experience leading data engineering teams
Experience in Agile environments.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills.
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