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Tier-1 brand, mid-level generalist fullstack/data role in metro with broad skillset increases applicant density.
Core fullstack/data skills transfer well, but banking data privacy and controls increase domain specificity.
Many mandatory technical skills and leadership expectations create strict filtering during shortlisting.
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Build and maintain data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design, implement, and optimize data architectures handling volume and velocity requirements with required security measures.
Collaborate with data scientists to build and deploy machine learning models and lead/guide teams in complex data engineering projects.
Hands-on experience with Python backend development (Django, Flask, FastAPI) and frontend technologies (React/Angular, JavaScript).
Strong SQL/Oracle skills including database design, query optimization, and stored procedures.
Experience with DevOps tools and practices: CI/CD (GitLab), Unix/Linux, Chef, deployment automation, and environment troubleshooting.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune.
Demonstrated capability to lead or guide teams in complex, cross-functional, data engineering and software development assignments.
Strong full stack development skills combined with expertise in data engineering, especially in secure data provisioning, masking, and synthetic data generation.
Experience operating in regulated data privacy environments with understanding of GDPR, CCPA, and governance/risk mitigation priorities.