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 3+ 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
Benefits
· Can participate in several organization-wide programs, including a compulsory innovation-based Continuous improvement program providing you platforms to showcase your talent.
· Insurance benefits for the self and the spouse including maternity benefits + Covid specific insurance.
· Ability to work on many products as the organization is focused on working with several ISVs.
· Fortnightly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization.
· Celebrations are a common place - physical or virtual. Participate in several games with your co-workers
· Voice your opinions on topics other than your work - Chimera Talks.
· Usual annual year-end bonuses
· Hybrid work options - Work from home and office.
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