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Data Engineer DB2/Python

Kanshe Infotech

Job
28568
Posted
Location
Houston, TX
Work type
Contract
Tax terms
C2C
Experience
Experience open
Openings
1 opening

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Skills

  • Microservices
  • REST
  • SQL
  • Oracle
  • Python
  • DB2

About the job

Job Title: DB2 - Data Engineer / Python

Location: Houston, TX - Hybrid (3 Days Onsite)

Interview: In-Person (F2F)

Note: We are specifically looking for a local candidate based in Houston, TX, or nearby areas who is available to attend an in-person (F2F) final interview.

TOP MUST-HAVE SKILLS:

  • Expert-level DB2 / IBM iSeries SQL Stored Procedures - MUST HAVE
  • Strong hands-on Python Services experience
  • Oracle Database & Data Pipelines
  • RPG to SQL Stored Procedure Conversion / Modernization
  • Advanced SQL Development & Performance Tuning
  • IBM iSeries / AS400 Development

Required Skills:

  • Hands-on expertise in IBM DB2 development on IBM iSeries/DB2 for i, including DB2 SQL, stored procedures, database design, and performance tuning
  • Expert-level SQL Stored Procedures development on DB2 IBM iSeries - (MUST HAVE)
  • Candidates with only embedded SQL and RPG experience will not be considered.
  • Experience with Dynamic SQL, SQL Stored Procedures, performance tuning, logging, and exception handling.
  • Strong experience with RPG IV, RPGLE, RPG Free, and embedded SQL.
  • Hands-on experience with RPG-to-SQL Stored Procedure conversion/modernization.
  • Strong Python services development experience.
  • Experience with Oracle Database and data pipelines.
  • Experience working with SQL cursors.
  • Experience developing applications using REST APIs and JSON.
  • Exposure to Python, microservices, and VS Code.
  • Experience with Git/source control and integration.
  • Familiarity with IBM i tools such as Aldon, RDi, and ACS.

Key Responsibilities:

  • Develop, maintain, and modernize DB2 applications on the IBM iSeries platform.
  • Convert legacy RPG programs into SQL Stored Procedures.
  • Develop and optimize complex SQL procedures and database solutions.
  • Build and support Python services and data pipelines.
  • Integrate backend applications with REST APIs and front-end systems.
  • Troubleshoot performance, logging, and exception-handling issues.

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