About the role
About the Role
Our client is seeking a Senior AWS DataHub Developer to design and build real-time, event-driven data services on AWS. This role is developer-first (application-side) rather than infrastructure-led. You will architect and deliver Kafka-based streaming pipelines and serverless data applications that ingest, transform, and serve data at scale.
You’ll collaborate with architects, data engineers, and product teams to deliver secure, resilient, observable, and highly scalable solutions that power enterprise-grade analytics and event-driven applications.
What You’ll Do (Key Responsibilities)
- Design & Deliver Event-Driven Pipelines: Build serverless data flows using AWS Lambda, Step Functions, EventBridge, SNS, SQS, API Gateway.
- Real-Time Streaming: Develop Kafka (Apache Kafka/Amazon MSK) consumers/producers for high-throughput, low-latency streaming and decoupled microservices.
- Microservices & APIs: Build and optimize TypeScript (preferred) or Python services/APIs for data ingestion, transformation, and delivery.
- AWS Data Services Integration: Work with S3, DynamoDB, Glue, Athena, CloudWatch for storage, metadata, querying, and observability.
- Quality & Reliability: Implement idempotency, retries, dead-letter queues, exactly-once/at-least-once semantics where appropriate, and schema evolution strategies.
- CI/CD & Testing: Use Git-based workflows and CI/CD (e.g., GitHub Actions, Jenkins) with automated tests (unit/integration/load) and infrastructure deployments.
- IaC (Developer View): Define application-layer infrastructure using AWS CDK, Terraform, or CloudFormation—with strong emphasis on developer productivity and repeatability.
- Agile Collaboration: Contribute to technical design, story sizing, peer reviews, and continuous improvement.
Ideal Candidate Profile
- You are a cloud-native, application-side developer who thinks in events, streams, and services—not servers. You design for resiliency, observability, and scale, and you’re comfortable pairing Kafka with AWS serverless to deliver business outcomes.
About Sapsol Technologies Inc
About the role
About the Role
Our client is seeking a Senior AWS DataHub Developer to design and build real-time, event-driven data services on AWS. This role is developer-first (application-side) rather than infrastructure-led. You will architect and deliver Kafka-based streaming pipelines and serverless data applications that ingest, transform, and serve data at scale.
You’ll collaborate with architects, data engineers, and product teams to deliver secure, resilient, observable, and highly scalable solutions that power enterprise-grade analytics and event-driven applications.
What You’ll Do (Key Responsibilities)
- Design & Deliver Event-Driven Pipelines: Build serverless data flows using AWS Lambda, Step Functions, EventBridge, SNS, SQS, API Gateway.
- Real-Time Streaming: Develop Kafka (Apache Kafka/Amazon MSK) consumers/producers for high-throughput, low-latency streaming and decoupled microservices.
- Microservices & APIs: Build and optimize TypeScript (preferred) or Python services/APIs for data ingestion, transformation, and delivery.
- AWS Data Services Integration: Work with S3, DynamoDB, Glue, Athena, CloudWatch for storage, metadata, querying, and observability.
- Quality & Reliability: Implement idempotency, retries, dead-letter queues, exactly-once/at-least-once semantics where appropriate, and schema evolution strategies.
- CI/CD & Testing: Use Git-based workflows and CI/CD (e.g., GitHub Actions, Jenkins) with automated tests (unit/integration/load) and infrastructure deployments.
- IaC (Developer View): Define application-layer infrastructure using AWS CDK, Terraform, or CloudFormation—with strong emphasis on developer productivity and repeatability.
- Agile Collaboration: Contribute to technical design, story sizing, peer reviews, and continuous improvement.
Ideal Candidate Profile
- You are a cloud-native, application-side developer who thinks in events, streams, and services—not servers. You design for resiliency, observability, and scale, and you’re comfortable pairing Kafka with AWS serverless to deliver business outcomes.