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Metro locations and common Data Engineer title increase competition, while niche SAS specialization reduces broad applicant pool.
Strong SAS and banking reporting experience required increases industry-specific background sensitivity.
Explicit 7–9 years requirement and mandatory deep SAS/ETL skills make filters strict.
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Design, develop, and maintain scalable SAS programs and ETL workflows for banking and financial data processing and reporting.
Optimize performance and resource utilization of large-scale SAS data processing jobs involving customer, transaction, and risk data.
Collaborate with cross-functional teams to support end-to-end testing, code management (Git/Bitbucket), CI/CD deployment, and production issue resolution.
7–9 years of experience in SAS development and data engineering roles.
Strong hands-on expertise in SAS Programming including Base SAS, Macro Programming, Data Step Programming, PROC SQL, and SAS ETL Development.
Experience with source code management tools like Git or Bitbucket and involvement in CI/CD and DevOps processes.
Location requirement: Hyderabad, Pune, or Bangalore.
Experienced in handling large-scale, high-volume banking and financial datasets with accuracy and efficiency.
Capable of developing reusable SAS macros and automating workflows to improve development productivity.
Comfortable working in collaborative, cross-team environments involving business analysts, architects, QA, and stakeholders.