[Remote] Data Engineer / QA (SS22)

Note: The job is a remote job and is open to candidates in USA. Vaco is currently seeking a Data Engineer / QA for a 16M+ Contract opportunity that is remote. The Data Engineer / QA will support a large-scale enterprise data modernization initiative focused on building cloud-native data pipelines and delivering trusted, high-quality analytical data within Snowflake.

Responsibilities

• Developing Enterprise Data Pipelines / ELT Workflows / Cloud-Native Data Processing Solutions within Snowflake
• Designing / Developing Data Ingestion Pipelines Supporting Batch / Incremental / Near Real-Time Data Processing
• Developing Complex SQL Logic / Query Optimization / Transformation Processes Supporting Enterprise Analytics
• Building Python-Based Data Processing / Automation / Validation / Pipeline Support
• Developing / Maintaining DBT Models Supporting Modular Data Transformations / Testing / Documentation / Analytics Engineering Best Practices
• Modernizing Legacy ETL Workloads into Cloud-Native ELT Architectures Leveraging Snowflake / DBT
• Developing CDC Pipelines Supporting Incremental Data Loads / Synchronization / Low-Latency Data Movement
• Performing Source-to-Target 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 Enterprise 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

• Snowflake – Developing Enterprise Data Pipelines / ELT Processes / Cloud Data Warehouse Solutions within Snowflake
• SQL – Strong Experience Developing Complex SQL Queries / Stored Procedures / Data Transformations / Performance Optimization
• Python – Developing Python-Based Data Engineering Solutions Supporting Automation / Pipeline Development / Data Validation
• DBT – Experience Building Modular DBT Models / Transformations / Tests / Documentation Supporting Analytics Engineering Best Practices
• ETL / ELT Development – Experience Designing / Developing / Modernizing Enterprise Data Integration Solutions
• Change Data Capture (CDC) – Experience Implementing CDC Pipelines Supporting Incremental Data Processing / Data Synchronization
• Data Validation / Reconciliation – Experience Performing Source-to-Target Validation / Data Reconciliation / Quality Verification Across Enterprise Data Pipelines
• Data Quality / QA – Experience Supporting Data Quality Validation / Testing / QA Processes Throughout Enterprise Data Delivery
• CI/CD – Experience Building Automated Deployment Pipelines Supporting Data Engineering Development and Production Releases
• Azure DevOps – Experience Managing Agile Delivery / Source Control / Build Pipelines / Release Management within Azure DevOps
• Git – Experience Utilizing Git for Source Control / Branching / Code Reviews / Collaborative Development
• Analytical Problem Solving – Investigating Data Quality Issues / Pipeline Failures / Transformation Errors / Root Cause Analysis Supporting Continuous Improvement
• Data Vault – Designing / Supporting Data Vault Architectures for Scalable Enterprise Data Warehouse Solutions
• Kimball Methodology – Designing Dimensional Models (Star Schemas / Fact Tables / Conformed Dimensions) Supporting Enterprise Reporting / Business Intelligence
• Enterprise Data Governance – Supporting Enterprise 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 vision benefits
• Company’s 401(k) retirement plan

Company Overview

Dice is the go-to career marketplace for tech professionals. It was founded in 2010, and is headquartered in Drachten, Friesland, NLD, with a workforce of 201-500 employees. Its website is https://www.or-quest.nl/.

Company H1B Sponsorship

Dice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.