Posted 31 May, 2026
561363-Data Engineer
ClifyX
Bengaluru,Karnataka,India
Full Time
Reference: 365_594563_26-03005
Accounting (INR)
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| Billable Per Diem | 0.00 | |||||||||
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Posting Information
| Job Posting Owner | Radhika S |
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| Coordinator | |
| Distributor | |
| Creator | Radhika S |
| Create Date | 02/04/2026 |
| Submit Date | 02/04/2026 02:41 PM |
| Maximum Submissions per Supplier | 3 |
| 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 | ||
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| Buyer Reference | |||
| Job Code | |||
| Legal Entity | INFOSYS | ||
| Site | Not Applicable (NA) | ||
| Location | Not Applicable (NA) | ||
| Work Location: IND | |||
| Business Unit | BLKCHAIN (BLKCHAIN_Unit) | ||
| 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 | 1,368.00 | ||
| Flat Adjustments | 0.00 | ||
| Description: Design, develop, and optimize ETL/ELT pipelines on Snowflake using SQL, tasks, streams, and stored procedures. Implement strong ETL testing strategies including source to target validation, reconciliation, and data quality checks. Ensure data accuracy, integrity, and auditability across end to end pipelines. Proactively identify and resolve data issues through automated validations and monitoring. Develop a deep understanding of the business/domain to ensure correct data semantics and usage. Collaborate closely with product, reporting, and downstream teams to validate requirements and outcomes. Demonstrate ownership, curiosity, and passion for building trusted, high quality data products. | |||
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561363 | ||
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Pan India | ||
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(No Value) | ||
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(No Value) | ||
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(No Value) | ||
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NA | ||
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5 | ||
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Design, develop, and optimize ETL/ELT pipelines on Snowflake using SQL, tasks, streams, and stored procedures. Implement strong ETL testing strategies including source to target validation, reconciliation, and data quality checks. Ensure data accuracy, integrity, and auditability across end to end pipelines. Proactively identify and resolve data issues through automated validations and monitoring. Develop a deep understanding of the business/domain to ensure correct data semantics and usage. Collaborate closely with product, reporting, and downstream teams to validate requirements and outcomes. Demonstrate ownership, curiosity, and passion for building trusted, high quality data products. |
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Design, develop, and optimize ETL/ELT pipelines on Snowflake using SQL, tasks, streams, and stored procedures. Implement strong ETL testing strategies including source to target validation, reconciliation, and data quality checks. Ensure data accuracy, integrity, and auditability across end to end pipelines. Proactively identify and resolve data issues through automated validations and monitoring. Develop a deep understanding of the business/domain to ensure correct data semantics and usage. Collaborate closely with product, reporting, and downstream teams to validate requirements and outcomes. Demonstrate ownership, curiosity, and passion for building trusted, high quality data products. |
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Banking or finance | ||
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PreOB | ||
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8 | ||
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Pre BGV | ||
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Nascom | ||
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Face to Face | ||
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Hybrid | ||
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9-6 | ||
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General |
