Staff Data Engineer (Pune)

Staff Data Engineer (Pune)

13 Aug
|
Indexnine
|
Pune

13 Aug

Indexnine

Pune

The Role & Scope

As a Staff Data Engineer, you will initially serve as the sole technical owner of the client's data platform, responsible for stabilizing, optimizing, and scaling its architecture. As the engagement grows, you will build, lead, and mentor a dedicated pod of junior and mid-level engineers.Because you will be embedded deeply with the client, you will interact directly with their executive and business stakeholders (e.g., Finance, Product, and Operations leads) to translate complex business problems into robust data architecture.

Tech Stack You Will Own:
- Storage & Compute: Snowflake (including Snowflake Cortex for LLM agents)
- Transformation & Modeling: dbt Cloud
- Ingestion: Fivetran (extracting from microservices, PostgreSQL, Salesforce, QuickBooks, and proprietary systems)
- Cloud Platform & Infrastructure: AWS (IAM, S3, EC2, PrivateLink) managed via Terraform
- Downstream Consumption: Tableau, Metabase, and production ML scoring pipelines

Key Responsibilities

Technical Leadership & Execution
- Platform Ownership:



Act as the sole maintainer and architect of the dbt/Snowflake warehouse, ensuring it remains the company's reliable single source of truth.
- Operational Engineering: Maintain and harden business-critical operational logic housed within the warehouse (e.g., complex financial commission calculation systems).
- Infrastructure as Code: Manage, provision, and scale all data infrastructure securely using Terraform.
- Next-Gen Data Capabilities: Partner with data science teams to support machine-learning pricing/scoring processes and integrate Snowflake Cortex LLM agents.

Client Strategy & Stakeholder Management
- Direct Collaboration: Interface directly with the clients executive leadership and business heads to gather requirements, define metrics, and align the data roadmap with business goals.
- Defensive Architecture: Translate ambiguous business requests (like changing financial commission structures) into rock-solid, audited data w

📌 Staff Data Engineer (Pune)
🏢 Indexnine
📍 Pune

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