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Virtusa
A full stack developer should be able develop API service using Node JS / Python and deploy on AWS with complete unit and integration testing.
Design and implement a customizable data processing framework using Python or Node.js. This framework should be capable of handling diverse scenarios and evolving data processing requirements.
Implement data pipeline for data Ingestion, transformation and extraction leveraging the AWS Cloud Services
Seamlessly integrate a variety of AWS services, including S3, Kafka, Lambda, SQL, SNS, Athena, EC2, RDS (Oracle, Postgres, MySQL), AWS Crawler to construct a highly scalable and reliable data ingestion and extraction pipeline
Facilitate configuration and extensibility of the framework to adapt to evolving data needs and processing scenarios
Develop and maintain rigorous data quality checks and validation processes to safeguard the integrity of ingested data
Implement robust error handling, logging, monitoring, and alerting mechanisms to ensure the reliability of the entire data pipelineOver 6 years of hands-on experience in data engineering, with a proven focus on data ingestion and extraction using Python
Extensive AWS experience is mandatory, with proficiency in Lambda, SQS, SNS, AWS IAM, AWS Step Functions, S3, and RDS(Oracle, Aurora Postgres).
4 years of experience working with both relational and non-relational/NoSQL databases is required
Strong SQL experience is necessary, demonstrating the ability to write complex queries from scratch
Strong scripting experience with the ability to build intricate data pipelines using AWS serverless architecture
Strong understanding of Kinesis, Kafka, Glue Lake Formation, CDK
A strong understanding of data concepts related to data warehousing, business intelligence (BI), data security, data quality, and data profiling is required
Experience in Node Js and CDK
Experience with Kafka and ECS is also required.
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