Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: MAX
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Philadelphia, PA- 100% ONSITE
skill id: 10843812
Role: Data Operations Engineer / DataOps Specialist
Skills: Digital : Python
Experience Required: 8-10 years
Role Descriptions:
1. Data Pipeline & OperationsBuild| manage| and monitor ETL/ELT pipelines for data ingestion and transformation [tealhq.com]| [torchora.com]Ensure smooth data flow across systems| warehouses| and applications [interviewguy.com]Automate workflows and reduce manual data handlin
2. Data Quality & GovernanceImplement data validation| cleansing| and reconciliation processes [tealhq.com]Maintain data integrity| consistency| and accuracy across systems [interviewguy.com]Define and enforce data governance standards and policies [genevausa....ayjobs.com]
3. Monitoring & Issue ResolutionMonitor pipelines and data systems for failures and anomaliesPerform root cause analysis and corrective actionsEnsure SLA adherence for data availability
4. Infrastructure & Performance OptimizationManage data platforms (AWS/Azure/GCP| Data Lakes| Warehouses)Optimize performance| scalability| and cost efficiencySupport CI/CD for data systems (DataOps practices) [datagalaxy.com]
5. Stakeholder & Cross-functional CollaborationWork with business| analytics| and engineering teams to understand data needsTranslate business requirements into data workflowsSupport reporting| BI| and advanced analytics6. Documentation & ComplianceMaintain pipeline documentation| lineage| and metadataEnsure compliance with security and data privacy standardsSupport audits and governance reviews, Project Code :
ALL CAPS, NO SPACES B/T UNDERSCORES
: MAX
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Philadelphia, PA- 100% ONSITE
skill id: 10843812
Role: Data Operations Engineer / DataOps Specialist
Skills: Digital : Python
Experience Required: 8-10 years
Role Descriptions:
1. Data Pipeline & OperationsBuild| manage| and monitor ETL/ELT pipelines for data ingestion and transformation [tealhq.com]| [torchora.com]Ensure smooth data flow across systems| warehouses| and applications [interviewguy.com]Automate workflows and reduce manual data handlin
2. Data Quality & GovernanceImplement data validation| cleansing| and reconciliation processes [tealhq.com]Maintain data integrity| consistency| and accuracy across systems [interviewguy.com]Define and enforce data governance standards and policies [genevausa....ayjobs.com]
3. Monitoring & Issue ResolutionMonitor pipelines and data systems for failures and anomaliesPerform root cause analysis and corrective actionsEnsure SLA adherence for data availability
4. Infrastructure & Performance OptimizationManage data platforms (AWS/Azure/GCP| Data Lakes| Warehouses)Optimize performance| scalability| and cost efficiencySupport CI/CD for data systems (DataOps practices) [datagalaxy.com]
5. Stakeholder & Cross-functional CollaborationWork with business| analytics| and engineering teams to understand data needsTranslate business requirements into data workflowsSupport reporting| BI| and advanced analytics6. Documentation & ComplianceMaintain pipeline documentation| lineage| and metadataEnsure compliance with security and data privacy standardsSupport audits and governance reviews, Project Code :