Data Engineer

Role & responsibilities Lead Engineer Specialization : Must have : AWS(EMR)+Data+Pyspark) Specialization : Key Responsibilities : Architect and lead end-to-end PII de-identification and transformation solutions using AWS Glue, S3, Lake Formation, Kinesis, and DMS. Design secure, scalable infrastructure with VPC segregation and IAM-based access. Define schema transformations (masking, hashing, redaction) and ensure HIPAA compliance. Lead RBAC, containerization strategies, and microservices deployment within data pods. Enable centralized logging, alerting, and monitoring with CloudWatch, X-Ray, and EventBridge. Collaborate with compliance teams to ensure auditability and lineage tracking of sensitive fields. Mentor data engineers and oversee best practices for CI/CD and version control in data pipelines. Qualifications : Btech Professional Experience : Architect and lead end-to-end PII de-identification and transformation solutions using AWS Glue, S3, Lake Formation, Kinesis, and DMS. Design secure, scalable infrastructure with VPC segregation and IAM-based access. Define schema transformations (masking, hashing, redaction) and ensure HIPAA compliance. Lead RBAC, containerization strategies, and microservices deployment within data pods. Enable centralized logging, alerting, and monitoring with CloudWatch, X-Ray, and EventBridge. Collaborate with compliance teams to ensure auditability and lineage tracking of sensitive fields. Mentor data engineers and oversee best practices for CI/CD and version control in data pipelines.