Bigdara Developer
- Grid Dynamics
- 3 - 5 years
- Bengaluru
- 2 months ago
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Job Description
Tech Stack & Platform Overview The solution is built for scalable, enterprise-grade Agentic AI solutions , enabling efficient data ingestion, processing, and delivery to AI agents.
Key components include:
Mandatory Technical Skills
Python, Google Cloud Platform
- Core data ingestion and transformation pipelines
- Data layers supporting RAG workflows and AI agents
- LLM observability and logging data pipelines
- AgentOps -related operational data pipelines
- Integration with agent frameworks such as CrewAI, AutoGen, and LangGraph
- A modular, cloud-native architecture for rapid iteration and deployment
Essential functions
Nice-to-Have Requirements - Hands-on experience designing, building, and deploying data pipelines
- Experience with ETL/ELT pipelines for structured and unstructured data
- Familiarity with batch and streaming data processing
- Understanding of data quality, monitoring, and reliability practices
- Exposure to cloud-based data platforms and deployment workflows
- Basic understanding of how data pipelines support AI/LLM or RAG use cases
- Ability to collaborate with AI engineers, platform engineers, and product teams
- Willingness to learn and adapt in a fast-paced environment 3.
Qualifications
Tech Stack & Platform Overview The solution is built for scalable, enterprise-grade Agentic AI solutions , enabling efficient data ingestion, processing, and delivery to AI agents.
Key components include:
Years of Experience- 3 to 5 Years
Mandatory Technical Skills
Python, Google Cloud Platform
- Core data ingestion and transformation pipelines
- Data layers supporting RAG workflows and AI agents
- LLM observability and logging data pipelines
- AgentOps -related operational data pipelines
- Integration with agent frameworks such as CrewAI, AutoGen, and LangGraph
- A modular, cloud-native architecture for rapid iteration and deployment
Would be a plus
Nice-to-Have Requirements - Hands-on experience designing, building, and deploying data pipelines
- Experience with ETL/ELT pipelines for structured and unstructured data
- Familiarity with batch and streaming data processing
- Understanding of data quality, monitoring, and reliability practices
- Exposure to cloud-based data platforms and deployment workflows
- Basic understanding of how data pipelines support AI/LLM or RAG use cases
- Ability to collaborate with AI engineers, platform engineers, and product teams
- Willingness to learn and adapt in a fast-paced environment 3.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- we'll-equipped office
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Data warehouse DeveloperEmployement Type: Full timeContact Details:
Company: Grid DynamicsLocation(s): Bengaluru+ View Contact
Keyskills: Quality monitoring Architecture Cloud Data processing Deployment Data quality Medical insurance Operations
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