Senior DataOps Engineer
Core
Design, implement, and maintain a secure hybrid cloud data platform on AWS, focusing on data pipelines, tokenization, and AI chatbot/voicebot implementation for a telecommunications client.
Role type
Senior DataOps Engineer (Cloud & Data Platform)
Builds
Hybrid cloud data platforms, real-time streaming architectures, and AI chatbot/voicebot systems
Domain
Telecommunications, Cloud Computing, Data Engineering
Required skills
AWS Data Analytics stack (S3, Glue, Lake Formation, EMR, Athena, MSK), Apache Spark/PySpark, Medallion Lakehouse Architecture, Data tokenization/de-identification, Event-driven/streaming architectures (Kafka, Schema Registry), Relational Databases (RDS, PostgreSQL, Oracle), DataOps CI/CD & Automation (GitLab, Terraform), Data governance tools
Preferred skills
Apache Iceberg, Telecom domain data models (CDR), Cloud-side tokenization via Lambda, Containerization (Docker, EKS, Kubernetes), AWS Macie, FinOps
Technologies
AWS (S3, Glue, Lake Formation, EMR, Athena, DataSync, MSK, RDS, Macie), Apache Spark, PySpark, Apache Kafka, Protegrity, Informatica, GitLab, Terraform, AWS CDK
Responsibilities
Design and implement AWS Data Platform foundation (S3 lake, Iceberg, Glue); Build and optimize batch and streaming data pipelines; Implement data tokenization and de-identification pipelines; Build and manage real-time streaming architectures; Implement Medallion Architecture for lakehouse data modeling; Execute data migration waves; Configure data access control and governance models; Build automated schema-drift identification components; Implement DataOps observability and FinOps monitoring; Author technical documentation and disaster recovery procedures
Seniority
Senior, hands-on IC
