Posted 12 June, 2026
Data Engineer (Databricks / Snowflake / Oracle / Dataverse)
ClifyX
India
Full Time
Reference: 365_594563_26-03791
Accounting (INR)
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| Billable Per Diem | 0.00 | |||||||||
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Posting Information
| Job Posting Owner | Dhananjay Kumar |
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| Coordinator | |
| Distributor | |
| Creator | Dhananjay Kumar |
| Create Date | 28/04/2026 |
| Submit Date | 28/04/2026 06:51 PM |
| Maximum Submissions per Supplier | 5 |
| Auto Invoice Type | None |
Billing Information
| Buyer Information | |
|---|---|
| Bill To INFOSYS - MANUAL: 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 - MANUAL (INFOSYS) | ||
| Site | Not Applicable (NA) | ||
| Location | Not Applicable (NA) | ||
| Work Location: IND | |||
| Business Unit | GCAMRECS (GCAMRECS_PU) | ||
| Category | |||
| Labor Type | Business Professional | ||
| Positions Requested | 1 | ||
| Respond by Date | 18/06/2026 | ||
| Travel Time | 0.000 % | ||
| Time Sheet Type | No time sheets | ||
| Hours per Day | 9 | ||
| Hours per Week | 45 | ||
| Total Hours | 1,206.00 | ||
| Flat Adjustments | 0.00 | ||
| Description: Role Summary We are looking for a Data Engineer to develop and support enterprise data pipelines and analytics-ready datasets. This role requires strong expertise in data mapping, data analysis, and report analysis, with hands-on capabilities in Oracle, SQL databases, Databricks, Snowflake, and Microsoft Dataverse. The engineer will work with global stakeholders and contribute to building reliable, scalable, and well-governed data solutions. Key Responsibilities • Build and maintain ETL/ELT pipelines using Databricks (PySpark/Spark SQL) and standardized frameworks. • Create detailed source-to-target mapping documents and collaborate with SMEs for validation. • Perform data profiling, cleansing, normalization, and implement data quality controls. • Analyze data and reports for gaps, inconsistencies, and defects, providing resolution options. • Develop transformations and curated layers in Snowflake, following performance and cost best practices. • Write and optimize SQL for Oracle and other relational databases; support extraction strategies. • Integrate datasets with Microsoft Dataverse to support downstream Power Platform apps and workflows. • Support production operations: monitoring, incident management, RCA, and continuous improvement. • Maintain documentation: pipeline specs, mapping sheets, test results, and operational runbooks. • Collaborate with QA/BI teams to validate outputs and ensure readiness for dashboards and analytics. | |||
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BP1189 | ||
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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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[email protected] | ||
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5+ Years | ||
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• 4+ years in Data Engineering / ETL / Data Integration. • Strong SQL skills and ability to debug complex data issues. • Hands-on experience with Oracle DB and relational modeling. • Practical experience using Databricks (Spark) for transformations and pipeline development. • Working knowledge of Snowflake for loading and transformation patterns. • Experience with data mapping, reconciliation, and data validation techniques. • Experience analyzing reporting outputs and ensuring dataset accuracy. • Good communication skills and ability to work with global teams. |
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• Experience with ADF/Airflow or orchestration tools; scheduling and dependency management. • Experience with Delta Lake, medallion architecture (Bronze/Silver/Gold). • Experience with Power BI datasets/semantic layers; understanding of business KPIs. • Familiarity with data governance, role-based security, and metadata management. • Python development standards and unit testing for data pipelines. |
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M&A for Oil & Gas (preferred) | ||
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PostOB | ||
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7+ Years | ||
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Post Onboarding | ||
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Any NASSCOM | ||
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Face to Face | ||
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Hybrid | ||
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May require overlap with US business hours (as needed) | ||
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Others |
