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Salary
≈ $21k – $44k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
Supercharge your team building. Empowering visionary founders to efficiently build exceptional teams through customized HR recruitment solutions, offering speed and cost-effectiveness without compromising quality.

Introduction :

Joining an existing data engineering squad as staff augmentation, you bring graph data modeling and analytics skills on top of a PySpark/SQL data engineering foundation, working within the squad's existing lead and stand-ups.

As an embedded Data Engineer, you bring graph analytics to life on top of a PySpark/Snowflake data foundation.

Note: Shares a common PySpark/Snowflake base with "Data Engineer - Power BI Modelling" - source together, differentiate on graphing vs. semantic-modeling depth at interview.

Key responsibilities :

- Model graph data: Design and implement graph data models and analytics (e.g., Neo4j or similar).

- Build pipelines: Develop PySpark/Python and SQL pipelines feeding the Snowflake environment.

- Integrate with reporting: Support Power BI consumption of graph and pipeline outputs where needed.

- Collaborate: Operate inside the existing squad structure with no separate delivery lead required.

- Ensure quality: Validate data accuracy and performance of graph queries and pipelines.

- Explore GenAI: Apply GenAI techniques to relevant use cases as opportunities arise.

Must-have qualifications :

- Python and PySpark

- SQL

- Graph data modeling / graph databases

Preferred :

- Power BI (optional, depending on seniority)

- Snowflake; Dataiku

Skills

Python, PySpark, SQL, Neo4j, Dataiku, Tableau, Data Modeling, Snowflake DB

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