General Electric Company
Sr.DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Data Engineer at General Electric Company. Skills: Automation, Observability, Data pipelines, Cloud services. Build observability frameworks. Implement monitoring tools”
What You'll Achieve.
Streamline workflows; Enhance efficiency; Ensure platform reliability; Improve system efficiency; Proactive issue detection; Proactive issue resolution
Industry & Context.
Identify trends; Identify anomalies; Identify areas for improvement
Access to U. S. export-controlled information, Legal authorization to work in the U. S.
What They're Looking For.
Must Have
Python, Bash scripting, Docker, AWS, Lambda, CloudTrail, X-Ray, CloudWatch, S3, IAM, Prometheus, Grafana, Datadog, FluentBit, ELK stack, OpenSearch, Airflow, Glue, Step Functions, OpenTelemetry, E2E lineage strategy, CDC tooling, AWS DMS, Debezium, SQL, Elasticsearch, OpenSearch stacks, AMI creation, deployment, CI/CD pipelines, Infrastructure as Code, Terraform, CloudFormation, Legal authorization to work in the U. S.
Nice to Have
Web application stacks, Node.js, Vue, React, Security/compliance observability integration, Custom connectors/APIs, OpenMetadata, Machine learning, AI-driven automation, Kubernetes
What You'll Do.
Build observability frameworks
Implement monitoring tools
Analyze system metrics
Design automation solutions
Develop scripts and tools
Automate repetitive tasks
Ensure platform high availability
Ensure fault tolerance
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with teams to enhance efficiency
Full Job Description
# ****Job Description Summary**** As the Sr. Data Engineer, you will play a critical role in building and architecting automation and observability for the EDAS platform, with a particular focus on the data consumption side in the near term. You will be responsible for emphasizing automating workflows, ensuring platform reliability by developing data-driven observability tools and collaborating with teams to enhance efficiency and performance. The platform to automate & observe includes Redshift, Spotfire and triggers, Dataiku project flows, and Talend. The role focuses on designing and implementing automation solutions to streamline workflows, enhance efficiency, and ensure platform reliability. It involves building observability frameworks for real-time monitoring, logging, and alerting, optimizing data pipelines for scalability, and ensuring compliance with data governance and security standards. # **Job Description** **In this role you will:** * Build and maintain observability frameworks to monitor the health, performance, and reliability of data and analytic platforms. * Implement tools for real-time monitoring, logging, and alerting to ensure proactive issue detection and resolution. * Analyze system metrics and logs to identify trends, anomalies, and areas for improvement. * Design and implement intelligent automation solutions to streamline data and analytic processing workflows and platform operations. * Develop scripts, tools, and frameworks to automate repetitive tasks and improve system efficiency. * Collaborate with cross-functional teams to identify automation opportunities and implement solutions. * Ensure high availability and fault tolerance of the platform through robust monitoring and automation strategies. **Minimum Qualifications:** * Bachelor’s degree from accredited university or college with minimum of 2 years of professional experience OR associate's degree with minimum of 5 years of professional experience OR High School Diploma with minim
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