Aws Data Engineer

Job Description

Note: Looking for Immediate Joiners and timings 5:30 pm - 1:30 am IST (Remote) Project Overview (If Possible): Its one of the workstreams of Project Acuity. Client Data Platform includes centralized web application for internal platform users across the Recruitment Business to support marketing and operational use cases. Building a database at the patient level will provide significant benefit to Client future reporting capabilities and engagement of external stakeholders. Role Scope / Deliverables: We are looking for an experienced AWS Data Engineer to join our dynamic team, responsible for developing, managing, and optimizing data architectures. The ideal candidate will have extensive experience in integrating large-scale datasets, building scalable and automated data pipelines. The candidate should also have experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) to handle data processing and integration tasks effectively. Must Have Skills: Proficiency in programming languages such as Python, Scala, or similar. Strong experience in data classification, including the identification of PII data entities. Ability to leverage AWS services (e.g., SageMaker, Comprehend, Entity Resolution) to solve complex data related challenges. Strong analytical and problem-solving skills, with the ability to innovate and develop new approaches to data engineering Experience with AWS ETL services (such as AWS Glue, Lambda, and Data Pipeline) to handle data processing and integration tasks effectively. Experience in core AWS Services including AWS IAM, VPC, EC2, S3, RDS, Lambda, CloudWatch, CloudTrail. Nice to Have skills: Experience with data privacy and compliance requirements, especially related to PII data. Familiarity with advanced data indexing techniques, vector databases, and other technologies that improve the quality of outputs.