Open jobs in India: on-site, hybrid and remote.
18 jobs found · India
bengaluru, IndiaIndia & South Asia
building and developing microservices using Spring Boot and Spring CloudStrong understanding of microservicesProven ability to deliver scalable and reliable microservice…
bengaluru, IndiaIndia & South Asia
BGSW is seeking a Sr Analyst – Innovation & Portfolio to support the management of its innovation portfolio.
bengaluru, IndiaIndia & South Asia
This role will focus on concept creation, venture building, market validation, and the development of strategic innovation bets within a dedicated technology domain. The…
Bengaluru, IndiaIndia & South Asia
Databricks is looking for a Senior Collections Analyst to own a high-volume accounts receivable (AR) portfolio in a fast-growing, usage-based SaaS business.
Bengaluru, IndiaIndia & South Asia
Sales Compensation Analyst on the Comp Admin team, you will run commissions administration from start to finish for a large global group of sellers, so they can trust…
Bengaluru, KA, IndiaIndia & South Asia
Cost Management: Co-ordinate & link information across functions to work out &administer the Plant Performance based on business planning Cost Estimation: Working out…
Hejjala, KA, IndiaIndia & South Asia
Hindi
Preferred: Qualification or Trained in Project Management, Product Management, Hydraulics, Operations or Business Management.
bangalore, IndiaIndia & South Asia
-> Experience working with shared design libraries and coded web components
Bengaluru, KA, IndiaIndia & South Asia
Work with operations, partner management and business teams to provide analyse and report plans vs actuals on regular basis; Present entity performance dashboards…
bangalore, IndiaIndia & South Asia
We are seeking a 12+ experienced Data Architect with strong expertise in Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, SQL Data Warehouse, and…
bangalore, IndiaIndia & South Asia
Data Analytics/Pyspark/Azure data bricks
bengaluru, IndiaIndia & South Asia
Strong programming fundamentals in Python and experience working with structured and large-scale datasets.