Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Remote-first role, metro Bangalore, mid-level generalist title, and broad AWS data skillset increase competition.
Core data engineering skills are transferable across industries despite domain knowledge being a plus.
Explicit 5–10 years plus mandatory AWS, CDC, programming, and data-modeling requirements increase filter strictness.
Design and own the canonical normalized data model (3NF ERD) and data governance standards for a SaaS field service management platform.
Build and maintain a medallion data platform (Bronze → Silver → Gold) on AWS, including CDC pipelines, ETL jobs, and star schema modeling for self-serve BI and AI/ML readiness.
Migrate and normalize client-specific schemas into the canonical model ensuring data fidelity and enable rapid QBR preparation (reducing from 4 weeks to under 2 days).
5–10 years of data engineering experience in product or SaaS companies with production data platform building from scratch.
Strong AWS data stack expertise with hands-on experience in S3, Glue (ETL and Data Catalog), DMS, Redshift/Redshift Serverless, Athena, and QuickSight or equivalent.
Proficiency in programming languages such as Python, Go, or Java used for building and maintaining data pipelines and transformations.
Location Requirement: Based in India, ideally Bangalore, with ability to collaborate across time zones.
Experienced in data modeling for operational and analytics use cases, including normalized (3NF) and dimensional/star schemas, especially with schema divergence across multi-tenant deployments.
Strong architectural thinking with pragmatic decision-making balancing long-term scalability and near-term delivery, along with experience in data governance and quality processes.
Collaborative operator capable of working across cross-functional teams (Data, Product, Solutions, AI) and translating technical complexity for non-technical stakeholders.