Pune · Mid Level
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Our tracked job listings for Infovision show strong recent activity.
First 72 hours
Window passed - posted 82d agoEarly applicants get seen before the pile builds.
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The first time we've seen this listing - it hasn't been closed and reopened.
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•Knowledge and experience with relational and non-relational databases.
• Strong hands-on experience with MongoDB, including schema design, aggregation pipelines, indexing strategies, sharding, replica sets, and performance optimization.
• Proficiency in Azure Cosmos DB, including multi-model data access (Cosmos DB API for MongoDB, SQL API), partitioning strategies, consistency levels, throughput management (RU/s), and global distribution.
• Strong experience in graph data modeling and querying using Azure Cosmos DB Gremlin API, including graph traversals, vertex/edge design, and relationship-driven analytics.
• Strong hands-on experience in building RESTful APIs using FastAPI, including async endpoint design, Pydantic models, middleware, dependency injection, background tasks, and auto-generated OpenAPI/Swagger documentation.
• Experience with Azure API Management (APIM) for API gateway configuration,Python.
Evergreen
Python,Data Engineering,Azure,SQL
• Collect progress updates from Squad on a regular basis.
• Consolidate updates into weekly project status reports and share with the Squad Leads for their review.
• You participate in early state design and feature definition activities.
• Responsible for implementing robust data pipeline using Microsoft, Databricks Stack.
• Responsible for creating reusable and scalable data pipelines.
• You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
• You have strong communication skills to effectively convey complex data insights to non-technical stakeholders.
• Develop and manage L3-level project plans with sufficient details for tasks, milestones, and dependencies
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