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Popular entry-level data engineering role with broad requirements and moderate employer brand, attracting many applicants.
Data engineering skills are highly transferable across industries despite healthcare domain context.
Basic mandatory SQL and programming skills for freshers give moderate filtering without strict certifications.
Build and maintain data pipelines for ingestion, transformation, and loading (ETL/ELT).
Support development and management of datasets to meet reporting and dashboard needs.
Collaborate with cross-functional teams to deliver scalable, reliable data solutions and improve data quality.
Basic knowledge of SQL (mandatory).
Familiarity with at least one programming language such as Python, Java, or Scala (Python preferred).
Understanding of ETL concepts, data pipelines, and basic data structures and algorithms.
Work Experience Required: Fresher / Entry level (explicitly for freshers).
Comfortable working with structured and unstructured data from multiple sources and optimizing SQL queries.
Ability to collaborate across product, analytics, and business teams to understand and support data requirements.
Open to learning new technologies in a fast-paced environment, with focus on data engineering and analytics support.