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Tier-1 brand, mid-level data role, hybrid flexibility, and broad SQL/AWS skillset increase applicant competition.
Core data engineering skills transfer well, though healthcare regulatory familiarity adds moderate industry specificity.
Explicit 5–8 year requirement plus mandatory Oracle/SQL Server, AWS, ETL skills make shortlisting stringent.
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Design and optimize complex database architectures using SQL Server and Oracle for enterprise healthcare applications.
Manage data lake architectures, implement ETL processes and optimize query performance for large-scale datasets.
Work with AWS cloud data services (RDS, Redshift, Athena, Glue, S3) and support data migration and governance practices.
5-8 years of experience in database development and administration.
Bachelor's degree in Computer Science or related field.
Advanced SQL skills (T-SQL, PL/SQL) and strong experience with Oracle Database (12c/19c) and SQL Server.
Experience with data lake concepts, ETL tools, AWS data services, and data modeling for enterprise applications.
Experienced in enterprise database engineering and data architecture within healthcare or related domains.
Capable of mentoring junior developers and performing code reviews, with strong focus on data quality and performance optimization.
Familiar with healthcare data standards, regulatory requirements, and working in geographically diverse teams.