Compunnel, Inc.
Senior Cloud/Data Infrastructure Engineer
Compunnel, Inc., San Antonio, Texas, United States, 78208
Texas, San Antonio
07/01/2025
Contract
Active
Job Description:
Job Summary: We are seeking a Senior Cloud/Data Infrastructure Engineer with 8+ years of experience to lead the design and implementation of scalable data infrastructure and automation in the cloud. The ideal candidate will have hands-on expertise with modern ETL/ELT tools, event-driven architectures, and pipeline automation across cloud platforms such as AWS, Azure, or GCP. Job Responsibilities: Design, develop, and optimize robust cloud-based data platforms Build and maintain real-time and batch data pipelines using tools like Fivetran, Informatica IDMC, Azure Data Factory, or AWS Glue Architect and manage event-driven streaming systems (Kafka, Kinesis, Event Hubs, Pub/Sub) Automate infrastructure provisioning using IaC tools like Terraform or CloudFormation Implement CI/CD pipelines and streamline deployment processes Ensure observability through monitoring tools (Datadog, Prometheus, Grafana) Support real-time analytics by optimizing data ingestion and processing workflows Collaborate with data engineering, DevOps, and application teams for system integration Troubleshoot performance issues and maintain high availability of services Support containerized environments using Kubernetes for orchestration Required Skills:
8+ years of experience in cloud and data platform engineering Proficiency in ETL/ELT tools: Fivetran, Informatica IDMC, Azure Data Factory, or AWS Glue Experience with event streaming platforms: Kafka, Kinesis, Event Hubs, Pub/Sub Strong knowledge of stream processing frameworks: Apache Flink, Spark Streaming, Google Cloud Dataflow, etc. Experience in Infrastructure as Code with Terraform or CloudFormation Familiarity with CI/CD and automation workflows Hands-on experience with Kubernetes and container orchestration Proficiency in monitoring tools like Datadog, Prometheus, Grafana Knowledge of both SQL and NoSQL databases Strong analytical, problem-solving, and communication skills Preferred Skills:
Understanding of CQRS, event sourcing, and real-time data processing Experience in supporting real-time analytics use cases Familiarity with multi-cloud environments (AWS, Azure, GCP) Certifications:
[Not specified] Education: Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience)
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Job Summary: We are seeking a Senior Cloud/Data Infrastructure Engineer with 8+ years of experience to lead the design and implementation of scalable data infrastructure and automation in the cloud. The ideal candidate will have hands-on expertise with modern ETL/ELT tools, event-driven architectures, and pipeline automation across cloud platforms such as AWS, Azure, or GCP. Job Responsibilities: Design, develop, and optimize robust cloud-based data platforms Build and maintain real-time and batch data pipelines using tools like Fivetran, Informatica IDMC, Azure Data Factory, or AWS Glue Architect and manage event-driven streaming systems (Kafka, Kinesis, Event Hubs, Pub/Sub) Automate infrastructure provisioning using IaC tools like Terraform or CloudFormation Implement CI/CD pipelines and streamline deployment processes Ensure observability through monitoring tools (Datadog, Prometheus, Grafana) Support real-time analytics by optimizing data ingestion and processing workflows Collaborate with data engineering, DevOps, and application teams for system integration Troubleshoot performance issues and maintain high availability of services Support containerized environments using Kubernetes for orchestration Required Skills:
8+ years of experience in cloud and data platform engineering Proficiency in ETL/ELT tools: Fivetran, Informatica IDMC, Azure Data Factory, or AWS Glue Experience with event streaming platforms: Kafka, Kinesis, Event Hubs, Pub/Sub Strong knowledge of stream processing frameworks: Apache Flink, Spark Streaming, Google Cloud Dataflow, etc. Experience in Infrastructure as Code with Terraform or CloudFormation Familiarity with CI/CD and automation workflows Hands-on experience with Kubernetes and container orchestration Proficiency in monitoring tools like Datadog, Prometheus, Grafana Knowledge of both SQL and NoSQL databases Strong analytical, problem-solving, and communication skills Preferred Skills:
Understanding of CQRS, event sourcing, and real-time data processing Experience in supporting real-time analytics use cases Familiarity with multi-cloud environments (AWS, Azure, GCP) Certifications:
[Not specified] Education: Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience)
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