Senior Data Engineer + Siebel EAI on W2

Overview

Hybrid
$100,000+
Full Time
Able to Provide Sponsorship

Skills

Agile
Data Modeling
Databricks
Datastage
Extract
Transform
Load
Enterprise Application Integration
IBM WebSphere MQ
Information Systems
Siebel
Java
MongoDB
Tivoli
TestNG
Python
API

Job Details

Preferred Qualifications Education and Prior Job Experience:

  • Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 10+ years of IT experience required.
  • 8+ years of experience working on Agile Development teams.
  • 8+ years of experience working with Batch Scheduling automation engine and Siebel EAI

Skills:

  • Programming Languages: Python, Java, Java Script
  • Batch Scheduling: IBM Tivoli Workload Schedule automation engine and DataStage ETL Tool
  • Siebel EAI with rest API/MQ/JMS, Siebel Open UI, Siebel Architecture/Data Model. Siebel Loyalty, PL/SQL
  • Source Control: GitHub, Azure DevOps
  • Data management: PostgreSQL, MongoDB, Redis
  • Integration/APIs Technologies: REST, GraphQL, Kafka
  • Cloud: Azure Databricks, Azure Data Factory and Azure Data Lake
  • Test Automation: Ready API, Postman, TestNG and Selenium
  • Experience in Integrating Siebel and REST Service and exposing them to external applications

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.

About Divit Technologies, Inc.