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
Positive to have skills -â¯
Real-time and Streaming Data - Apache Kafka, Amazon Kinesis
Generative ai concepts â Bedrock, LLM, Embeddings, Vector db. LanghChain, Langraph etc.
📌 Full Stack Engineer Bengaluru
🏢 Recognized
📍 Bengaluru
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