Posted 07 July, 2026
539424
ClifyX
Bengaluru,Karnataka,India
Full Time
Reference: 365_594563_26-03774
Accounting (INR)
Posting Information
Billing Information
Job Position Details
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| Billable Per Diem | 0.00 | |||||||||
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Posting Information
| Job Posting Owner | RaviKiranRao |
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| Coordinator | |
| Distributor | |
| Creator | RaviKiranRao |
| Create Date | 17/03/2026 |
| Submit Date | 17/03/2026 05:07 PM |
| Maximum Submissions per Supplier | 10 |
| Auto Invoice Type | None |
Billing Information
| Buyer Information | |
|---|---|
| Bill To INFOSYS: Plot No 44, Hosur Main Road Bengaluru, Karnataka IND | |
| NA | NA |
| Other |
Job Position Details
| Contingent Type | Contingent Type_Phase1_Generic | ||
|---|---|---|---|
| Buyer Reference | |||
| Job Code | |||
| Legal Entity | INFOSYS | ||
| Site | Not Applicable (NA) | ||
| Location | Not Applicable (NA) | ||
| Work Location: IND | |||
| Business Unit | DNAFS (DNAFS_PU) | ||
| Category | |||
| Labor Type | Business Professional | ||
| Positions Requested | 1 | ||
| Respond by Date | 31/05/2026 | ||
| Travel Time | 0.000 % | ||
| Time Sheet Type | No time sheets | ||
| Hours per Day | 9 | ||
| Hours per Week | 45 | ||
| Total Hours | 684.00 | ||
| Flat Adjustments | 0.00 | ||
| Description: "Overall experience 10+ years with minimum 8+ yreas experience in Spark, Python Proficient in Python, PySpark, and Object-oriented programming concepts. Proven experience as a Senior Data Engineer or similar role. Strong problem-solving techniques with an ability to troubleshoot complex software issues. Excellent communication skills, both written and verbal. Self-motivated and able to work independently with minimal supervision." Spark, Python, Big Data | |||
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539424 | ||
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KRNK | BANGALORE | ||
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(No Value) | ||
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(No Value) | ||
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(No Value) | ||
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Naveen Reddy Chitukula [[email protected]]Venkat Krishna Moturi [email protected] | ||
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Min 8 yrs | ||
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Spark, Python, Big Data | ||
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Spark, Python, Big Data | ||
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Cards and Payments | ||
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PreOB | ||
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10+ years of experince | ||
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Account specific | ||
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Account specific | ||
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Face to Face | ||
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Hybrid | ||
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9:00 AM to 6:00 PM | ||
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General |