Argyll Infotech Enterprise Pvt Ltd
Mainframe Database Administrator (DBA)
Argyll Infotech Enterprise Pvt Ltd, Philadelphia, Pennsylvania, United States, 19700
Overview
Position: Senior Observability Engineer (Main Frame, Splunk and Grafana) Type: On-site 5 days Location: Delaware Hourly Rate: $55-60 (C2C) We are seeking a highly skilled and experienced Senior Observability Engineer to join our team with Senior Observability Engineer Mainframe to Cloud-based expertise. The ideal candidate will have extensive hands-on experience with Splunk and Grafana, a strong background in building scalable data pipelines, and a unique proficiency with legacy mainframe systems with Cobol/JCL/REC. Responsibilities Proven expertise with Splunk Enterprise (installation, configuration, performance tuning, troubleshooting) including dashboard development, data source configuration, and creating advanced queries (SPL). Strong experience in Mainframe and cloud monitoring. Strong hands-on experience with REC scripting and JCL. A solid understanding of mainframe systems is essential for effective data extraction. Experience with a variety of observability tools beyond Splunk and Grafana, such as Prometheus, and Open Telemetry. Proficient in Bash and Python scripting; experience with other scripting languages is a plus Solid understanding of Linux/Unix operating systems Proven ability to design and build data pipelines, including familiarity with concepts like data ingestion, ETL/ELT, and data warehousing. Hands-on experience integrating cloud platforms (AWS, GCP, Azure) and Kubernetes with Splunk
Qualifications
Required Skills : Proven expertise with Splunk Enterprise (installation, configuration, performance tuning, troubleshooting) including dashboard development, data source configuration, and creating advanced queries (SPL). Strong experience in Mainframe and cloud monitoring. Strong hands-on experience with REC scripting and JCL. A solid understanding of mainframe systems is essential for effective data extraction. Experience with a variety of observability tools beyond Splunk and Grafana, such as Prometheus, and Open Telemetry. Proficient in Bash and Python scripting; experience with other scripting languages is a plus Solid understanding of Linux/Unix operating systems Proven ability to design and build data pipelines, including familiarity with concepts like data ingestion, ETL/ELT, and data warehousing. Hands-on experience integrating cloud platforms (AWS, GCP, Azure) and Kubernetes with Splunk
Preferred Qualifications :
Familiarity with CI/CD tools and DevOps methodologies is an advantage Certifications such as Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, AWS Certified Solutions Architect
Seniority level
Executive
Employment type
Contract
Job function
Information Technology
Industries
Software Development
#J-18808-Ljbffr
Position: Senior Observability Engineer (Main Frame, Splunk and Grafana) Type: On-site 5 days Location: Delaware Hourly Rate: $55-60 (C2C) We are seeking a highly skilled and experienced Senior Observability Engineer to join our team with Senior Observability Engineer Mainframe to Cloud-based expertise. The ideal candidate will have extensive hands-on experience with Splunk and Grafana, a strong background in building scalable data pipelines, and a unique proficiency with legacy mainframe systems with Cobol/JCL/REC. Responsibilities Proven expertise with Splunk Enterprise (installation, configuration, performance tuning, troubleshooting) including dashboard development, data source configuration, and creating advanced queries (SPL). Strong experience in Mainframe and cloud monitoring. Strong hands-on experience with REC scripting and JCL. A solid understanding of mainframe systems is essential for effective data extraction. Experience with a variety of observability tools beyond Splunk and Grafana, such as Prometheus, and Open Telemetry. Proficient in Bash and Python scripting; experience with other scripting languages is a plus Solid understanding of Linux/Unix operating systems Proven ability to design and build data pipelines, including familiarity with concepts like data ingestion, ETL/ELT, and data warehousing. Hands-on experience integrating cloud platforms (AWS, GCP, Azure) and Kubernetes with Splunk
Qualifications
Required Skills : Proven expertise with Splunk Enterprise (installation, configuration, performance tuning, troubleshooting) including dashboard development, data source configuration, and creating advanced queries (SPL). Strong experience in Mainframe and cloud monitoring. Strong hands-on experience with REC scripting and JCL. A solid understanding of mainframe systems is essential for effective data extraction. Experience with a variety of observability tools beyond Splunk and Grafana, such as Prometheus, and Open Telemetry. Proficient in Bash and Python scripting; experience with other scripting languages is a plus Solid understanding of Linux/Unix operating systems Proven ability to design and build data pipelines, including familiarity with concepts like data ingestion, ETL/ELT, and data warehousing. Hands-on experience integrating cloud platforms (AWS, GCP, Azure) and Kubernetes with Splunk
Preferred Qualifications :
Familiarity with CI/CD tools and DevOps methodologies is an advantage Certifications such as Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, AWS Certified Solutions Architect
Seniority level
Executive
Employment type
Contract
Job function
Information Technology
Industries
Software Development
#J-18808-Ljbffr