Senior Software Engineer
Infinite Computer Solutions (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 18h ago
Reach people at Infinite Computer Solutions
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Infinite Computer Solutions you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Manage and administer Power BI infrastructure, including deployment, authentication, gateway management, and operating in Azure government cloud.
- Lead Informatica administration involving shell scripting, Python programming for data engineering, CI/CD, version control, and REST API integrations.
- Develop and document technical architecture, system designs, sizing requirements, and maintain detailed Confluence documentation aligning with SDLC and release processes.
Minimum Requirements
- Experience required with Power BI report builder, Power Automate, and Oracle Analytics Server administration and deployment.
- Advanced shell scripting skills and Python programming knowledge, including Python3 and data engineering libraries.
- Familiarity with multiple databases: SQL Server, Oracle, PostgreSQL, Snowflake.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in managing complex analytics platforms and integrating diverse tools like Power BI, Oracle Analytics, and Informatica.
- Comfortable handling end-to-end data engineering workflows including scripting, CI/CD, API integrations, and security configurations.
- Skilled at documenting technical processes and working within structured SDLC and release environments.