Architect

Overview Must have experience with similar platform engineering/management solutions: Building/optimizing Data LakeHouse with Open Table formats; Kubernetes deployments/cluster administration; Transitioning on-premise big data platforms to scalable cloud-based platforms like AWS; Distributed Systems, Microservice architecture, and containers; Cloud Streaming use cases in Big Data Ecosystems (e.g., EMR, EKS, Hadoop, Spark, Hudi, Kafka/Kinesis). Required hands-on experience GitHib and Git Hub Actions AWS – IAM, API Gateway, Lambda, Step Functions, Lake Formation, Glue (Catalog, ETL, Crawler), Athena, S3 (Strong foundational concepts like object data store vs block data store, encryption/decryption, storage tiers etc) Python EKS & Kubernetes, Apache Hudi, Flink, PostgreSQL and SQL, RDS Java background Terraform Enterprise Helpful tech stack experience Helm, Kafka and Kafka Schema Registry, AWS Services: CloudTrail, SNS, SQS, CloudWatch, Aurora, EMR, Redshift, Iceberg, Vault, AWS Secrets manager #J-18808-Ljbffr