Roles & Responsibilities

Will work as a part of team delivery data engineering solutions. As the data engineer, he/she will be responsible to understand the requirements, understand the data, and build data pipelines

Preferred Candidates

At least 4+ years of experience with data engineering

Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions

Design and optimize data models

Design operations architecture and conduct performance engineering for large data sets in production workplace

Soft Skills

Excellent communication, comprehension and articulation skills

Excellent in persuasion and negotiation

Someone who can inspire a tech team

Work independently as technical consultant to the client and engagement (individual contributor role)





Mentor other engineers in coding best practices and problem solving.

Requirements

- Mandatory skillset requirement is AWS Redshift, AWS Bedrock, Lamda, Data Connetor

- Programming Language - Python

- Kubernetes, docker, Lambda

- API - python FastAPI framework

- DB - Lamda proxy - database connector

- DB - Relational dB / Redshift

- Generative AI - bedrock as LLM custom coding framework

- Good to have skills - 

- Real-time and Streaming Data - Apache Kafka, Amazon Kinesis

- Generative ai concepts – Bedrock, LLM, Embeddings, Vector db. LanghChain, Langraph etc.

📌 Full Stack Engineer (Bengaluru)
🏢 Chimera Technologies
📍 Bengaluru