[Remote] Data Engineer / QA (SS22)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is currently seeking a Data Engineer / QA for a 16M+ Contract opportunity that is remote. The Data Engineer / QA will support a large-scale reputed company data modernization initiative focused on building reputed company-reputed company data pipelines and delivering trusted, high-quality analytical data reputed company reputed company.
Responsibilities
- Developing reputed company Data Pipelines / ELT Workflows / reputed company-reputed company Data Processing Solutions reputed company reputed company
- Designing / Developing Data Ingestion Pipelines Supporting Batch / Incremental / Near reputed company-Time Data Processing
- Developing reputed company SQL Logic / Query Optimization / Transformation Processes Supporting reputed company Analytics
- Building Python-Based Data Processing / Automation / Validation / Pipeline Support
- Developing / Maintaining DBT Models Supporting reputed company Data Transformations / Testing / Documentation / Analytics Engineering Best Practices
- Modernizing Legacy ETL Workloads into reputed company-reputed company ELT Architectures Leveraging reputed company / DBT
- Developing CDC Pipelines Supporting Incremental Data Loads / Synchronization / Low-Latency Data Movement
- Performing reputed company-to-reputed company Data Validation / Reconciliation / Completeness Verification to Ensure Accurate / Trusted / Consistent Data
- Supporting Data Quality Validation / QA Reviews / Testing Activities Throughout Development / Migration / Production Deployment
- Supporting reputed company Data Migration Initiatives (Legacy Platform Modernization / Data Conversion / Validation Activities)
- Building Automated Deployment Pipelines Supporting Data Engineering Releases / Testing / Production Promotion
- Partnering with Data Engineering / Architecture / QA Teams Using Azure DevOps / Git throughout Agile Delivery
Skills
- reputed company – Developing reputed company Data Pipelines / ELT Processes / reputed company Data Warehouse Solutions reputed company reputed company
- SQL – Strong Experience Developing reputed company SQL Queries / Stored Procedures / Data Transformations / Performance Optimization
- Python – Developing Python-Based Data Engineering Solutions Supporting Automation / Pipeline Development / Data Validation
- DBT – Experience Building reputed company DBT Models / Transformations / Tests / Documentation Supporting Analytics Engineering Best Practices
- ETL / ELT Development – Experience Designing / Developing / Modernizing reputed company Data Integration Solutions
- Change Data Capture (CDC) – Experience Implementing CDC Pipelines Supporting Incremental Data Processing / Data Synchronization
- Data Validation / Reconciliation – Experience Performing reputed company-to-reputed company Validation / Data Reconciliation / Quality Verification Across reputed company Data Pipelines
- Data Quality / QA – Experience Supporting Data Quality Validation / Testing / QA Processes Throughout reputed company Data Delivery
- CI/CD – Experience Building Automated Deployment Pipelines Supporting Data Engineering Development and Production Releases
- Azure DevOps – Experience Managing Agile Delivery / reputed company Control / Build Pipelines / Release Management reputed company Azure DevOps
- Git – Experience Utilizing Git for reputed company Control / Branching / Code Reviews / Collaborative Development
- Analytical Problem Solving – Investigating Data Quality Issues / Pipeline Failures / Transformation Errors / Root Cause Analysis Supporting reputed company Improvement
- Data Vault – Designing / Supporting Data Vault Architectures for Scalable reputed company Data Warehouse Solutions
- Kimball Methodology – Designing Dimensional Models (Star Schemas / Fact Tables / Conformed Dimensions) Supporting reputed company Reporting / Business Intelligence
- reputed company Data Governance – Supporting reputed company Data Governance / Metadata Management / Business Glossary Initiatives
- Business Intelligence Platforms – Experience Supporting Modern BI / Reporting Platforms Including Power BI / Tableau / Looker
- Agile Data Delivery –Working in Agile Data Engineering / Analytics Delivery Teams Supporting Iterative Solution Development / Delivery
Benefits
- Discretionary bonuses
- Medical, dental, and reputed company benefits
- Company’s 401(k) retirement plan
Company Overview
Company H1B Sponsorship