Posted:1 week ago|
Platform:
On-site
Part Time
ROLES & RESPONSIBILITIES
Core Skills
Strong experience with PySpark and SQL for data engineering tasks.
Solid understanding of data modeling principles and best practices.
Exposure to Generative AI-based development and its integration with data workflows.
Hands-on experience with GitHub Actions for automation and deployment.
Proven ability to work with large-scale datasets in complex environments.
Excellent problem-solving skills and ability to work in a collaborative team environment.
Experience working with data in the Finance domain.
Familiarity with other Azure services (e.g., Azure Databricks, Azure Data Lake).
Knowledge of data governance and compliance frameworks.
EXPERIENCE
SKILLS
ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
Infogain
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
bengaluru
10.0 - 11.0 Lacs P.A.
bengaluru
10.0 - 11.0 Lacs P.A.
7.0 - 12.0 Lacs P.A.
3.86 - 9.5 Lacs P.A.
noida, uttar pradesh, india
Salary: Not disclosed
bengaluru
7.0 - 12.0 Lacs P.A.
mumbai, maharashtra, india
Salary: Not disclosed
gurugram
10.0 - 11.0 Lacs P.A.
bengaluru
10.0 - 11.0 Lacs P.A.
gurgaon
3.78 - 9.5 Lacs P.A.
