AWS Architect

Citiustech

10 - 15 years

0 - 3 Lacs

pune chennai bengaluru

Posted:3 days ago| Platform:

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Skills Required

data pipeline data lake aws s3 rds eks/ecs pyspark cloudformation vpc aws glue dms ec2 cloudwatch aws iam lambda cloudtrail python

Work Mode

Hybrid

Job Type

Full Time

Job Description

Must have skills :

15 years of experience in design and delivery of Distributed Systems capable of handling petabytes of data in a distributed environment.
10 years of experience in the development of Data Lakes with Data Ingestion from disparate data sources, including relational databases, flat files, APIs, and streaming data.
Experience in providing Design and development of Data Platforms and data ingestion from disparate data sources into the cloud.
Expertise in core AWS Services including AWS IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail, CloudWatch.
Proficiency in programming languages like Python and PySpark to ensure efficient data processing. preferably Python.
Architect and implement robust ETL pipelines using AWS Glue, defining data extraction methods, transformation logic, and data loading procedures across different data sources
15 years of Experience in using IaC tools like Terraform etc.
10 years of experience in development of CI/CD pipelines (GitHub Actions, Jenkins).
Experience in the development of Event-Driven Distributed Systems in the Cloud using Serverless Architecture.
Ability to work with Infrastructure team for AWS service provisioning for databases, services, network design, IAM roles and AWS cluster.
2-3 years of experience working with Document DB.
Ability to design, orchestrate and schedule jobs using Airflow.
Knowledge of AWS AI Services like AWS Entity Resolution, AWS Comprehend.
Ability to run custom LLMs using Amazon SageMaker.
Ability to use Large Language Models (LLMs) for Data Classification and Identification of PII data entities

Nice to have Skills:

10 years of experience in the development of Data Audit, Compliance and Retention standards for Data Governance, and automation of the governance processes.
Experience in data modelling with NoSQL Databases like Document DB.
Experience in using column-oriented data file format like Apache Parquet, and Apache Iceberg as the table format for analytical datasets.
Expertise in development of Retrieval-Augmented Generation (RAG) and Agentic Workflows for providing context to LLMs based on proprietary enterprise data.
Ability to develop re-ranking strategies using results from Index and Vector stores for LLMs to improve the quality of the output.

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