Data Engineer/ Ab Initio /Data Management - Data Integration

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Job Title: Data Engineer/ Ab Initio /Data Management - Data Integration

Work Location: Omaha, NE 68102 (Hybrid)

Contract duration: 12+ Months

Job Details:

Must Have Skills

Solid L2 production support experience with enterprise distributed applications.

Strong experience with at-least any two Kafka, Cognos and Abnitio.

Experience supporting or working actively on Red Hat Open Shift, Flink, Kubernetes, Kafka, Cognos, Abinitio, Spark, Hadoop, ARO, PCF, AWS, Azure, Google Cloud, OCP, JAVA, JVM, Middleware, Apigee

Nice to have skills

Knowledge of ITIL frameworks and best practices.

Experience with automation and scripting languages.

Good analytical and troubleshooting skills.

Experience and desire to work in a Global Delivery environment.

Experience using versioning control tools like MS Visual Source Safe (VSS), Git, and Bitbucket.

Detailed Job Description

2+ years of experience in Kafka, Cognos and or Abnitio.

4+ years of experience in Unix and Windows, scheduling tools.

4+ years of experience in Oracle, MYSQL, Mongo, Cassandra Databases.

4+ years of experience in Red Hat Open Shift, Flink, Kubernetes, Kafka, Cognos, Abinitio, Spark, Hadoop, ARO, PCF, AWS, Azure, Google Cloud, OCP, JAVA, JVM, Middleware, Apigee.

4+ years of experience in production management, application/platform monitoring, on call schedule.

1+ years of experience with monitoring tools like Splunk, Dynatrace, Grafana and Moog Soft.

1+ years of experience with incidents, change and problem management and ticketing tools like Service Now, Remedy, CA Service Desk.

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Participate in production management activities such as incident, change and problem management as well as work with various teams for metrics-based tracking, planning, risk & mitigation, patching and certification support for multiple top clients

Implement plan reviews, change submissions in the interest of change success and hygiene along with improving resiliency and availability for your platforms

Closely work with multiple production assurance teams and maintain production run books, change registers, automations, improvements, and perform impact/root cause analysis for production issues.