Packaged/SaaS Application Engineer

Project Role : Packaged/SaaS Application Engineer

Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.

Must have skills : Microsoft Azure Databricks

Good to have skills : Python (Programming Language), Scala, PySpark

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Packaged or Software as a Service Application Engineer, a typical day involves configuring and supporting packaged or SaaS applications to meet evolving business requirements. This includes adapting application features, managing software releases, and ensuring the overall stability and performance of the systems. The role requires working with various tools, application programming interfaces, and low-code platforms to deliver solutions that align with organizational goals while maintaining compatibility across different environments. Collaboration with multiple teams to address challenges and optimize application functionality is a key aspect of daily activities.

Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead efforts to identify and implement process improvements that enhance application performance and reliability.
• Mentor junior team members to support their professional growth and ensure knowledge sharing within the team.
• Coordinate cross-functional communication to ensure alignment on project goals and deliverables.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Microsoft Azure Databricks.
• Good To Have Skills: Experience with Python (Programming Language), Scala, PySpark.
• Strong understanding of cloud-based data processing and analytics platforms.
• Experience in configuring and managing SaaS or packaged applications in enterprise environments.
• Ability to work with APIs and low-code platforms to customize and extend application functionality.
• Familiarity with release management and deployment processes to ensure smooth application updates.
  
  

Additional Information:

• The candidate should have minimum 5 years of experience in Microsoft Azure Databricks.
• This position is based at our BDC7A - SEZ location.
• A 15 years full time education is required.