Average salary: Rs600,000 /yearly
More statsGet new jobs by email
- Locations: Bangalore | Indore | Raipur | Gurugram (Hybrid) Experience: 4–8 years Department: Data Analytics / Business Intelligence About the Role What You'll Do (Key Responsibilities) Deep-Dive Data Analytics: Write and optimize complex, advanced SQL queries to...SuggestedFull timeHybrid work
Rs 2.4 - 4.2 lakhs p.a.
Actively hiring Mathematics Faculty Start Date Starts Immediately CTC (ANNUAL) ₹ 2,40,000 - 4,20,000 ₹ 2,40,000 - 4,20,000 /year ...SuggestedImmediate start- The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits...Suggested
- Key Responsibilities : - Design, develop, and deploy scalable AI and data science applications using Python and modern software engineering practices.- Build production-ready APIs and backend services using FastAPI, Flask, or similar frameworks, including REST APIs and asynchronous...Suggested
Rs 20 - 25 lakhs p.a.
HIRING | SENIOR MICROSOFT FABRIC DATA ENGINEER Location: PAN India – Bangalore, Chennai, Pune, Hyderabad, Mumbai, Kolkata, Noida, Coimbatore, Indore, Nagpur & Bhubaneswar Work Mode: Hybrid Experience: 8–12 Years CTC: ₹23–25 LPA Role Overview...SuggestedFull timeHybrid work- Experience : 6 Year +Role Description :- Strong Python programming with experience on building modular applications, API integrations and packaging.- Strong SQL/Database skills with the ability to write medium to complex SQL queries for data operations.Tools : Any IDE, Git, ...Suggested
- Key Responsibilities : - Design and implement scalable, high-performance enterprise data architectures.- Define data models, data flows, integration patterns, and architecture standards.- Develop and review Python-based data engineering solutions, frameworks, and reusable components...Suggested
- Key Responsibilities : - Design and develop scalable batch and real-time data pipelines on AWS.- Build and maintain robust ETL/ELT pipelines using AWS data services.- Develop data processing and transformation workflows using Python and PySpark.- Ingest data from databases, ...Suggested