Back
Tier-1 brand plus metro location increase competition, tempered by specialized Abinitio/dataplatform requirements.
Cards ecosystem and Abinitio/dataplatform expertise demand industry-specific backgrounds, so fit sensitivity is high.
Regulated banking experience, governance controls, and niche tech stack (Abinitio, Databricks) create strict mandatory filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, build, and maintenance of data architectures, pipelines, warehouses, and lakes ensuring data accuracy, accessibility, and security.
Drive large-scale data engineering initiatives on modern cloud platforms delivering resilient, governed, and audit-ready data products in a regulated banking environment.
Coordinate and support end-to-end initiative planning, stakeholder management, and deliver continuous engineering improvements aligning with strategic priorities.
Experience leading large-scale data engineering projects on cloud platforms in regulated banking or similar environments.
Technical expertise in Abinitio, Oracle, AWS, Python, SQL, DBT, Databricks, and Airflow.
Mandatory understanding of data governance areas including data quality, lineage, metadata, and observability.
Work Experience Required: Not explicitly mentioned in the JD; Location requirement: Pune office.
Proven ability to lead engineering teams and drive adoption of standardized engineering practices (SDLC, CI/CD, controls) across multiple portfolios.
Experience partnering with Product, Risk, Technology Control, and Business stakeholders to shape data strategy and align regulatory/business outcomes.
Strong strategic orientation with deep knowledge of cloud-native data platforms and governance, capable of coaching senior engineers and influencing large federated teams.