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Full Stack Engineer

Job Description - Full Stack Engineer




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 environment







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. 



 








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