2 months ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design and own the canonical normalized ERD, naming conventions, data types, and relationship standards.
- Build and operate the Bronze-to-Gold medallion data platform on AWS.
- Develop CDC pipelines and ETL jobs that ingest Amazon RDS data, apply business logic, calculate KPIs, and create analytics-ready star schemas.
- Migrate customized client schemas to the canonical model while preserving client-specific fidelity and enforcing row-level tenant isolation.
- Build Gold-layer marts and QuickSight-ready schemas for self-serve Customer Success reporting.
- Establish data governance processes, including schema change control, data dictionaries, cataloging standards, and audit-ready lineage.
- Collaborate with Product Engineering, Solutions, and AI teams on schema migration, ERD validation, regression testing, and model-training data requirements.
Requirements
- 5–10 years of data engineering experience in a product or SaaS company.
- Proven experience building production data platforms, warehouses, or lake architectures from the ground up.
- Experience designing normalized 3NF operational schemas and dimensional or star schemas for analytics.
- Fluency with CDC, ELT/ETL patterns, orchestration, idempotent pipelines, and schema evolution.
- Strong programming skills in Python, Go, or Java, with production experience building data pipelines and automation.
- Hands-on expertise with S3, Glue, DMS, Redshift or Redshift Serverless, Athena, and QuickSight, or comparable tools.
- Experience implementing data cataloging, lineage tracking, access controls, and change-management processes.
- Strong technical judgment, pragmatic architectural decision-making, communication, and cross-functional collaboration skills.
- Experience in field service management, field operations, utilities, telecom, or industrial SaaS is a plus.
Benefits
- Remote-first global work environment with the role based in India, ideally Bangalore.
- Collaboration with engineering, data, product, solutions, customer success, and AI teams across time zones.
About Zinier
Zinier builds an enterprise field service management platform that uses AI and low‑code tools to orchestrate workflows, automate scheduling and dispatch, and give technicians mobile support. The subscription SaaS integrates with existing systems and serves asset‑intensive industries such as telecommunications, utilities, energy, and manufacturing. Founded in 2018 and headquartered in San Mateo, California, Zinier is privately held.