Job Description
Snowflake Data Engineer
Location: Remote, Washington, DC
Duration: 4 months
Day-to-day Responsibilities:
- Design, develop, and optimize data pipelines using Snowflake native capabilities.
- Build and maintain ETL/ELT processes for data ingestion, transformation, and integration.
- Support data migration initiatives from legacy systems to cloud-based platforms.
- Develop and maintain database solutions using Microsoft SQL Server and SSIS.
- Collaborate with business and technical teams to gather requirements and deliver high-quality data solutions.
- Support reporting and analytics initiatives through integration with BI tools.
- Implement and maintain CI/CD processes for code deployment and release management.
- Ensure data quality, performance optimization, security, and documentation of data solutions.
Required Skills:
- Strong hands-on expertise in Snowflake and cloud-based data engineering solutions.
- Experience designing, developing, and supporting scalable data pipelines and analytics solutions.
- Solid understanding of data warehousing, ETL/ELT frameworks, and data integration best practices.
- Experience with Microsoft SQL Server and SSIS package development.
- Proven experience with data migration projects and modernization initiatives.
- Hands-on experience with BI and analytics tools, including Tableau, Power BI, and Alteryx.
- Strong AWS experience: S3 bucket management, AWS Glue, AWS DMS, AWS Lambda.
- Experience with CI/CD pipelines and DevOps deployment practices.
- Strong SQL development, troubleshooting, and performance tuning skills.
- Excellent analytical and problem-solving capabilities.
- Exceptional verbal and written communication skills.
Key Skills:
- Snowflake, SQL Server, SSIS, AWS S3, Glue, DMS, Lambda, Tableau, Power BI, Alteryx, ETL/ELT, Data Migration, Data Warehousing, CI/CD, Cloud Data Engineering.
- AI Awareness & Solutions: Intermediate
- Analysis Data Sources: Intermediate
- Communication: Advanced
- Cortex: Intermediate
- Python: Intermediate
Expected Deliverables:
- Data migration and meet the release timelines.
Education:
Undergraduate degree
Numbers & Facts
| Location | Washington, DC (Remote) |
Skills
AWS Lambdaunmatched
Amazon Simple Storage Service (S3)unmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Business Intelligenceunmatched
Business Intelligence Softwareunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Analysisunmatched
Data Managementunmatched
Data Migrationunmatched
Data Processingunmatched
Data Qualityunmatched
Database Administrationunmatched
Database Extract Transform and Load (ETL)unmatched
Database Programmingunmatched
DevOpsunmatched
Documentationunmatched
Identify Issuesunmatched
Information/Data Security (InfoSec)unmatched
Microsoft SQL Serverunmatched
Performance Tuning/Optimizationunmatched
Power BIunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Release Management/Engineeringunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
SQL Server Integration Services (SSIS)unmatched
Scalable System Developmentunmatched
Snowflake Schemaunmatched
Software Engineeringunmatched
System Migrationunmatched
Tableauunmatched
Time Managementunmatched
Writing Skillsunmatched
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