Data Operations Engineer DataOps Specialist
Job Location:
Job Location:
Philadelphia, PA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
5 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Please strictly adhere to the following resume naming convention:
ALL CAPS NO SPACES B/T UNDERSCORES
Bill Rate: $70 MAX
PTNUSGBAMSREQIDCandidateBeelineID
i.e. PTNUS9999999SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Philadelphia PA- 100% ONSITE
GBaMS ReqID:
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 smooth data flow across systems warehouses and applications workflows and reduce manual data handlin
2. Data Quality & GovernanceImplement data validation cleansing and reconciliation processes data integrity consistency and accuracy across systems and enforce data governance standards and policies
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)
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
ALL CAPS NO SPACES B/T UNDERSCORES
Bill Rate: $70 MAX
PTNUSGBAMSREQIDCandidateBeelineID
i.e. PTNUS9999999SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Philadelphia PA- 100% ONSITE
GBaMS ReqID:
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 smooth data flow across systems warehouses and applications workflows and reduce manual data handlin
2. Data Quality & GovernanceImplement data validation cleansing and reconciliation processes data integrity consistency and accuracy across systems and enforce data governance standards and policies
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)
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
