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Senior Data Engineer
Saransh
- New York, New York, United States
- New York, New York, United States
About
Responsibilities
Leads development of data pipelines and architectures that handle large-scale data sets.
Designs, constructs, and tests data architecture aligned with business requirements.
Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
Oversees development of data solutions that enable predictive and prescriptive analytics.
Ensures the technical quality of solutions, managing data as it moves across environments.
Aligns data architecture to Healthfirst solution architecture.
Qualifications
8+ Years overall IT experience with minimum 5 years of work experience in the following 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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Languages
- English
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