Production Engineering - Data Services

  • Plano, TX
  • Posted 1 day ago | Updated 4 hours ago

Overview

On Site
USD 75,024.00 per year
Contract - W2

Skills

Project Management
Preventive Maintenance
Performance Management
Production Engineering
Snow Flake Schema
Data Warehouse
Servers
Streaming
Scalability
Apache Kafka
Big Data
Management
Electronic Health Record (EHR)
High Availability
Technical Support
SFTP
AS2
HTTPS
Scheduling
Root Cause Analysis
Continuous Delivery
Training
Enterprise Software
Extract
Transform
Load
Dynatrace
Tableau
Incident Management
Apache Camel
TIBCO Software
ESP
RESTful
GraphQL
SOAP
SQL
NoSQL
Database
Data Storage
POSTMAN
Documentation
Testing
Caching
Load Balancing
Log Analysis
Grafana
Network Design
Cloud Computing
IT Service Management
Problem Solving
Conflict Resolution
Communication
Collaboration
Amazon EC2
Amazon S3
Amazon RDS
Remote Desktop Services
Virtual Private Cloud
Amazon Route 53
Terraform
Linux
Microsoft Windows
Command-line Interface
Scripting
Python
Bash
Windows PowerShell
ITIL
Red Hat Linux
API Management
MFT
MuleSoft
DevOps
Jenkins
Docker
Kubernetes
Continuous Integration and Development
Continuous Integration
Artificial Intelligence
Machine Learning (ML)
API
Data Analysis
Amazon Web Services

Job Details

** The quickest way to be considered for this role is to CALL US directly! Click "Apply On Web" or "Apply Now" to access our Recruiter s contact details and give us a call today! **

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** We will NOT accept 3rd Party (C2C) Contractors **
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JOB DETAILS:
Position:Production Engineering - Data Services
JOB REF#:
Duration:6 Months To Hire (Contract To Hire)
Location:HYBRID - Plano, TX 75024
Pay Rate:$55.00 - $65.00 per hour (W2 ONLY)

This role is 100% ONSITE (LOCAL CANDIDATS ONLY)

Work Schedule: Shift based (morning/afternoon/evening); between 7:00 AM and 7:00 PM (On-Call Rotation: Once per month, includes weekend coverage.)

Production Engineering - Data Services will support transition phases, assuming ownership of approximately 300 enterprise applications. They will manage critical and observability-related incidents.

RESPONSIBILITIES INCLUDE:
Troubleshoot and resolve issues related to data ingestion, transformation, and querying. Support maintenance of Snowflake data warehouses.
Provide support for Tableau Servers.
Manage and maintain Kafka clusters, ensuring data streaming reliability and scalability.
Troubleshoot Kafka related issues and optimize performance.
Troubleshoot and resolve issues related to big data frameworks.
Monitor and manage EMR clusters, ensuring high availability and performance.
Provide technical support for integration solutions using MFT protocols (SFTP, FTPS, AS2, HTTPS) and MuleSoft Any point Platform.
Support the automation of file transfers and scheduling tasks using enterprise schedulers and tools.
Diagnosing and resolving API-related problems, working closely with development teams to implement fixes.
Continuously monitor API performance and usage, using tools to identify and resolve potential issues before they impact users.
Provide training and support to internal teams on API usage and best practices.
Monitor the performance and health of APIs using tools such as Datadog and DynaTrace
Collaborate with the Major Incident Management team to address and resolve critical issues in the production environment.
Participate in incident response activities, including root cause analysis and post-incident reviews.
Maintain comprehensive documentation of support processes, incident resolutions, and cloud configurations.
Collaborate on reviewing scalable architectures, implementing CI/CD pipelines, and troubleshooting application issues.
Monitor system health, perform regular maintenance, and respond to incidents.
Provide cross skill training and support to team members on integration solutions and best practices.

REQUIRED SKILLS/EXPERIENCE:
** Since this role is a CTH, we will not accept candidates who as on work visa's (EAD or H1B).
9+ years in enterprise application support experience
Experienced with Managed File Transfer (MFT), MuleSoft, ETL/EDL, and DynaTrace/Datadog.
Preferred Skills: Tableau, AWS or other cloud platforms, Terraform, General incident management capabilities.
Hands-on experience with leading integration platforms such as MuleSoft, Apache Camel, TIBCO, and ESP, enabling robust and scalable solutions.
Extensive knowledge in designing and developing RESTful APIs, GraphQL, and SOAP services, ensuring seamless integration and communication between systems.
Familiarity with cloud technologies, ensuring scalable and efficient cloud-based solutions.
Expertise in both SQL and NoSQL databases, ensuring efficient data storage and retrieval.
Skilled in using tools like Swagger and Postman for comprehensive API documentation and testing.
Ability to implement caching strategies and load balancing for enhanced
Strong problem-solving skills with experience in log analysis and using monitoring tools like Grafana.
Understanding of network architecture and protocols within cloud environments.
Understanding of ITSM processes.
Excellent troubleshooting and problem-solving skills.
Strong communication and collaboration skills.

TECHNICAL SKILLS:
AWS services (EC2, S3, RDS, Lambda, VPC, Route 53, Kubernetes)
Infrastructure as Code: Terraform, CloudFormation
Troubleshooting Linux/Windows systems
AWS CLI, scripting (Python, Bash, PowerShell)

DESIRED SKILLS:
ITIL Foundation framework.
AWS Certified Solutions Architect
MuleSoft Certified Developer
Red Hat Certified Specialist in API Management.
Familiarity with MFT protocols and MuleSoft Anypoint Platform
Familiarity with DevOps practices and tools like Jenkins, Docker, and Kubernetes for continuous integration and deployment.
Experience with AI and machine learning to enhance API functionalities and data analysis.
AWS certifications (Solutions Architect preferred)

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Calance Consultant Benefits Offerings:
- EPO/PPO Medical Plans
- HMO/PPO Dental programs
- Vision - VSP (Vision Plan Summary)
- 401K Retirement vesting program (VOYA)
- Paid Bi-Weekly/Direct Deposit
- Flex Spending Plan
- Voluntary Life, AD&D, STD or LTD plans
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.