Overview We are seeking a Mainframe Developer with 2–5 years of experience to support the development, enhancement, and maintenance of enterprise applications. The ideal candidate will have strong programming fundamentals, analytical skills, and experience working within structured development
Experience with Mainframe Cobol, CICS, should be senior. Required Skills: 1. Foundational programming skills with the ability to prototype, develop, and unit test application components. 2. Working knowledge of at least one programming language or development environment
-Salary: 90,000 -Location: Makati City -Set up: Hybrid (1x a week onsite) -Schedule: Dayshift (M-F) QUALFICATIONS -At least 3 years experience related to this role -Must have experience Mainframe Development - Must have solid CICS experience...
Mainframe Developer Work Location: Makati City Work Setup: Onsite Prepare to have: Have expert knowledge. Certified or holds certification. With more than 10 years of experience. Required Skills: Write high-quality, efficient, and maintainable code to develop software applications
Direct Hiring! Nityo Infotech Services is currently looking for Mainframe Developer! Position: Mainframe Developer Location: Makati City Setup: 2x onsite per week Schedule: Night Shift Salary: 150,000 base pay Qualifications: - At least 6 years overall experience. Minimum of 5
Nityo Infotech Services is currently looking for Mainframe Cobol Developer with 6 available seats! Position: Mainframe Cobol Developer Location: Makati City Work Setup: Flexible Working Arrangement (1-2x onsite per month or as needed) Schedule: Day Shift Salary: 80,000 - 90,000
Location: Taguig or Makati (should be amenable to either of the sites) Headcount: 23 Skill: COBOL, JCL, CICS, DB2, VSAM Level: Mid to Senior Work arrangement: Hybrid (1-3x a week) Shift schedule: 8:00AM – 5:00PM MNL
Job Description: Design, develop, and maintain ETL pipelines using Informatica, Azure Data Factory (ADF), and Databricks Perform migration of legacy ETL workflows (Informatica) to Databricks using Python/PySpark Analyze existing ETL workflows and re-engineer into optimized Spark-based