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Salary
≈ $25k – $52k per year (Estimated)
Location
Hybrid (Pune, India)
Seniority
Senior · 7+ years exp

First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
HiringBlaze is a recruitment firm in India that sources technology candidates for client companies and advertises their openings on job boards such as hirist. Its postings describe unnamed clients, among them a US enterprise software firm with a development centre in Noida, a supply chain and fintech SaaS company and a long-established medical devices maker in Agra, with roles in Gurgaon, Hyderabad, Bengaluru, Mumbai, Chennai and Pune. It recruits data engineers, database administrators, backend, Java and full stack developers, DevOps engineers, test automation engineers, data scientists, AI engineers and solution architects.

Description :

The Mission : Engineering the Nervous System of a Modern Data Platform

Location : Baner, Pune (Hybrid - 3 Days Office Synergy)

Experience : 7 to 12 Years of Production Grit

The Culture : Engineering-first, DevOps-integrated, and Innovation-led

Your Narrative at the Firm :

Data isn't just a storage problem; its a performance and intelligence problem. As our Senior Database Engineer, you won't just be "maintaining" databases. You will be the architect of a cloud-native ecosystem where AWS RDS, PostgreSQL, and Snowflake collide to create a high-frequency data lakehouse.

You are joining at a pivotal moment where we are moving beyond traditional storage into AI-enabled data engineering, using automation and machine learning to detect anomalies and optimize workloads before they even hit production.

The Technical Craft (What Youll Actually Do) :

1. Modern Architecture & The Lakehouse :

- You will lead the evolution of our Medallion Architecture. Imagine taking raw, chaotic data and refining it through the Bronze, Silver, and Gold layers until it's "AI-ready." Youll manage schema evolution and data versioning like a pro, ensuring our multi-environment deployments are seamless.

2. Automating the World (IaC & CI/CD) :

- We don't do manual provisioning. You will use Terraform to build infrastructure as code and integrate data platforms into our CI/CD pipelines. If it can be scripted in Python or automated via APIs, you'll be the one to do it.

3. The AI/ML Frontier :

- You aren't just supporting Data Scientists; you are building their foundation. You will engineer the ML Feature Stores and training datasets that power our predictive models. You'll apply AI to the database itselfthink automated query optimization and intelligent anomaly detection.

Your Blueprint for Success :

- The Experience : 7+ years in the trenches of Data or Database Engineering. Youve seen things break at scale, and you know how to fix them.

- The Stack : - Snowflake & PostgreSQL : You know these inside outperformance tuning, cost management, and security.

- Modern ELT : You are a fan of dbt and event-driven ingestion.

- Infrastructure : You treat infrastructure like software (Terraform is your go-to).

- The Mindset : You believe in Observability. You don't just want the pipeline to run; you want to see exactly how it's performing at every millisecond.

The First 90 Days & Beyond :

- Month 1 : Deep dive into our Snowflake and RDS environments. Youll be the fresh set of eyes we need to spot optimization gaps.

- Month 2 : Partnering with DevOps to refine our automated provisioning workflows.

- Month 3 : Delivering your first major enhancementbe it a faster schema, a more resilient pipeline, or a smarter monitoring tool.

Why This is the Right Move for You :

- Technical Sovereignty : We value your expertise. Youll have a seat at the table when architectural decisions are made.

- Wellness First : Comprehensive Mediclaim for you and your family (including parents).

- Learning Culture : Access to external certifications and in-house workshops via our Learning Wallet.

- Pune Hub : Work from our modern facility in Baner with a team that values open communication and regular community engagement.


Skills

Medallion Architecture, Data Engineering, DB, Snowflake DB, PostgreSQL, Database Performance Tuning

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