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LTM Linkedin · Posted 7d ago

Integration Support Analyst ADF MuleSoft

Bartlesville

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Indexed description

Role Description

Integration Support Analyst ADF MuleSoft

Bartlesville,Oklahoma onsite

Role Summary

The Integration Support Analyst is responsible for monitoring supporting troubleshooting and maintaining enterprise integration and data pipelines built using Azure Data Factory ADF and MuleSoft The role focuses on ensuring platform stability incident management data availability performance optimization and production support across businesscritical integrations

Key Responsibilities

Provide L2L3 production support for ADF pipelines MuleSoft APIs and integrations

Monitor daily batch jobs data loads API executions and integration workflows

Investigate and resolve incidents service requests and job failures within SLA timelines

Perform root cause analysis RCA and implement preventive measures for recurring issues

Support deployment release management and production migrations

Monitor platform health capacity performance and integration runtime environments

Coordinate with infrastructure application database and business teams for issue resolution

Maintain technical documentation SOPs knowledge repositories and operational dashboards

Support API governance security certificate renewals and access management activities

Required Technical Skills

Azure Data Factory ADF

Pipelines Activities Datasets Linked Services

Integration Runtime Selfhosted Azure IR

Trigger Management

Copy Activity Data Movement

Monitoring Troubleshooting

Error Handling and Logging

Performance Optimization

MuleSoft

Anypoint Platform

APIled Connectivity

RESTSOAP APIs

Mule 4 Development

API Manager

Runtime Manager

DataWeave

Anypoint Studio

API Monitoring and Support

Additional Skills

SQL and Database Troubleshooting

Azure Cloud Fundamentals

LinuxUnix basics

ITIL Incident Change Management

Monitoring Tools Azure Monitor Dynatrace Splunk App Insights

ServiceNow Ticketing

ShellPython scripting for automation

Experience

58 years overall IT experience

3 years in Azure Data Factory supportdevelopment

2 years in MuleSoft supportintegration projects

Exposure to production support and incident management environments

NicetoHave Skills

Azure Databricks

Snowflake

Azure DevOps

CICD Pipelines

KafkaEventdriven Integration

API Security and OAuth

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits And Perks

  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

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