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Tier‑1 brand, mid‑level data engineer title, metro location, and broad skillset make competition high.
SAS and banking domain knowledge moderately limit transferability, making background fit sensitivity medium.
Explicit 4–6 years plus mandatory SAS and banking data experience increases shortlisting strictness.
Design, develop, test, and implement reusable data solutions and assets focusing on SAS development within the Customer Remediation team.
Maintain existing data assets and solutions by debugging, root cause analysis, and resolving production issues.
Collaborate with Business Analysts and Data Analysts to deliver technical solutions that accelerate timely customer outcomes.
4 to 6 years of relevant work experience in data engineering or related fields.
Advanced SAS programming expertise is essential; experience in SQL coding is required; exposure to Python is highly beneficial.
Strong understanding of data development lifecycles, data analysis, reporting, and automation techniques.
Role location: Bengaluru; Work arrangement: Regular hours with Hybrid/Blended model; Notice period: Not explicitly mentioned in the JD.
Experienced data engineer with demonstrated ability to develop data products that support analytical solutions using SAS and SQL.
Able to operate autonomously on medium complexity tasks while collaborating effectively with team members and stakeholders.
Detail-oriented individual with strong problem-solving skills, focused on quality, deadlines, and continuous process improvement in a financial services context.