Key highlights of the role are listed below (purely indicative and not limiting):
Design, build, and completely own scalable data models and resilient data infrastructure optimized for contemporary cloud data environments (evaluating GCP and AWS).
Develop and maintain reliable ELT pipelines to transform, curate, and enrich large-scale credit card datasets starting immediately from the post-landing stage
Lead the end-to-end logical and physical data modeling strategy for the analytics datamart across Bronze, Silver, and Gold operational frameworks
Provide technical governance over cloud architecture selection (GCP vs. AWS evaluation), guaranteeing compliance with data localization mandate
Establish security boundaries including VPC controls, row/column-level access management, and automated PII masking frameworks
Lead Insights to translate raw data into active strategies, tracing transition matrices across different verticals

Applicants should possess the following attributes:
Solid,



expert-level understanding of database internals, query execution plans, performance optimization, and large-scale data modeling concepts (Star/Snowflake, conformed dimensions).
Exceptional capacity to synthesize complex technical data structures into executive-level, non-technical strategic business briefs.
Expertise in credit card or retail lending data architectures (delinquency aging buckets, provisioning logic, risk personas).
Programming & Modeling: Robust hands-on mastery of Python & SQL
Transformation & Orchestration: Production-grade expertise using dbt (Data Build Tool) and Apache Airflow to manage complex, multi-layered dependency DAGs
Cloud Ecosystems (GCP or AWS compatibility):

GCP Ecosystem: BigQuery, Cloud Storage, Dataflow, Cloud Composer, Cloud DLP.

AWS Ecosystem: Amazon Redshift, S3, AWS Glue, Managed Airflow (MWAA), AWS Macie.

📌 Avp/sr Manager : Data Strategy & Insights Analytics Maharashtra
🏢 BOBCARD
📍 Maharashtra