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Tier‑1 brand, mid‑level generalist data role, metro location and remote flexibility increase applicant competition.
Core database, ETL and data pipeline skills are highly transferable across industries, so sensitivity is low.
Explicit 3–5 year requirement plus mandatory SQL, Oracle/SQL Server, ETL and AWS skills raise filter strictness.
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Develop and maintain database objects using SQL Server and Oracle, including stored procedures, functions, views, and triggers.
Support data pipeline development, ETL processes, data migration, and ensure data quality through validations and checks.
Perform database performance tuning, participate in incident resolution, collaborate on schema design, and maintain documentation and standards.
3 - 5 years of experience in database development.
Bachelor's degree in Computer Science or related field.
Proficiency in SQL (T-SQL, PL/SQL), and experience with Oracle Database and SQL Server.
Basic understanding of data lake concepts and architecture; familiarity with AWS cloud services; ETL concepts; Git version control.
Experienced with database development in production environments, including performance tuning and incident management.
Capable of working with geographically diverse teams and effective communication in a technical environment.
Familiarity with data governance, quality practices, and evolving data technologies like data lakes and cloud services.