Datastage Developer

Job Description :

• Work with Agile Core team to understand the desired capability, to define and prioritize work, determine artifacts, and manage workloads

• Involve in application development, prototyping, modeling, unit testing

• Actively facilitate issue resolution and issue tracking. Identify mitigation steps and ensures risks and issues are mitigated/resolved in a timely manner

• Design and develop integrations between Appian and various other applications

• Implement internal process improvements: Automating manual processes, optimizing data delivery, participate in re-designing application processes for greater scalability, etc.

• Be able to ensure accuracy and completeness in dealing with data, code, and systems analysis

• Support the Development TL and/or PM in managing projects / Agile Sprints

• Perform Unit testing and Integration testing, including test data creation for various test scenarios

• Create and update automated test scripts for each story developed

Qualifications:

• 4-6 years of full-time experience in software development including design, coding, testing, production implementation, production support, performance tuning, bug fixing and quality control

Mandatory:

Appian:

• 4-6 years of hands-on experience in design, implementation, and production support of Appian BPM applications with Appian version 18.x or higher
• 1-2 year of experience with coding practices using Python/Java. Through knowledge of OOPS concepts and exception handling. Be able to Read/Write data from/to data files in different formats using Python.
• SQL: Hands on experience in writing standard SQL queries.
• AWS Services: At least 1 year of experience in dealing with AWS services
• 1-2 year of Appian cloud experience and Appian Level 2 or higher credential
• Experience with CI/CD, Agile and DevOps process • 1-2 years of experience with Scaled Agile, Kanban, or Scrum methodologies
• 1-2 years maintaining automated test scripts for development work Key to success in this role Strong working knowledge and technical competencies of data engineering and cloud native data lake
• Ability to communicate clearly, effectively, persuasively with technology and business partners Ability to develop mutually beneficial relationships inside and outside of the division, work and collaborate effectively in a team environment
• Sense of urgency to delivery and able to apply risk-based approach to prioritize work
• Strong work ethic, self-motivated, independent, and works with minimal direction
• Motivated to learn new technologies and identify process improvements and efficiencies
• Ability to adapt to change while continuing to deliver on assigned objectives

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