Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Senior Data Engineer to lead data engineering initiatives and ensure data quality and reconciliation across reporting layers. The role involves collaborating with business stakeholders, mentoring team members, and managing testing and deployment activities to support analytics and reporting requirements.
Responsibilities
- Establish and manage reconciliation processes across all reporting layers
- Ensure data consistency between source systems, Databricks, semantic models, and Power BI reports
- Drive investigation and resolution of data discrepancies
- Review validation results and issue logs
- Support customer demonstrations, business reviews, and UAT activities
- Collaborate with business stakeholders to understand reporting and analytics requirements
- Translate business requirements into actionable delivery plans
- Conduct status reviews, working sessions, and solution walkthroughs
- Provide regular updates on delivery progress, risks, and dependencies
- Support customer-facing demonstrations and solution reviews
- Lead and mentor Data Engineers, Power BI Developers, Data Analysts, and Validation Engineers
- Provide technical guidance and delivery direction
- Allocate work and manage resource utilization
- Support skill development and knowledge sharing initiatives
- Foster collaboration between engineering and analytics teams
- Coordinate testing, validation, reconciliation, and deployment activities
- Ensure all deliverables meet defined quality standards
- Validate release readiness before UAT and production deployment
- Support post-production issue management and continuous improvement initiatives
Skills
- Databricks
- SQL
- Data Warehousing
- Delta Lake
- Azure Data Platform
- Power BI
- Semantic Modeling
- DAX
- Data Integration Tools (e.g., Fivetran)
- Azure DevOps / Jira
- Agile Delivery Management
- Team Leadership
- Stakeholder Management
- Risk & Issue Management
- Resource Planning
- Project Coordination
- Data Reconciliation
- Data Quality Management
- Root Cause Analysis
- KPI Validation
- Reporting & Analytics Delivery
- User Acceptance Testing (UAT)
Company Overview
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