Position: Data Engineer (Contractor)
Location: Fully Remote
Employment Type: Contract
We are currently seeking a skilled Data Engineer to join our client's dynamic team on a contract basis, working fully remote.
Responsibilities:
- Data Pipeline Development: Develop and maintain scalable data pipelines and build out new API integrations to support the ongoing increase in data volume and complexity.
- Integration with ML Systems: Design data assets and pipelines for integration with machine learning systems.
- Data Quality Monitoring: Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Data Analysis and Troubleshooting: Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
- Data Integration Design: Design data integrations and data quality frameworks.
- Collaboration and Strategy: Work closely with business, analytics, and data science teams to develop a strategy for long-term data platform architecture.
Qualifications:
- Experience in ETL Pipelines: 5+ years of experience in creating and maintaining ETL pipelines with Azure Synapse.
- Technical Proficiency: Excellent in SQL, PySpark, and Python with at least 5+ years of experience.
- Azure Databricks: 5+ years of experience with development in the Azure Databricks platform.
- Agile Methodologies: Experience with or knowledge of Agile Software Development methodologies.
- Machine Learning: Experience with the machine learning model lifecycle.
- Problem Solving: Excellent problem-solving and troubleshooting skills.
Skills:
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Effective communication and collaboration skills to work with cross-functional teams.
- Ability to adapt to a fast-paced, ever-changing environment.
What We Offer:
- Competitive contractor rates.
- Opportunity to work with cutting-edge technologies in a dynamic and innovative environment.
- Professional growth and development opportunities.
- Fully remote work for optimal work-life balance.
Application: If you are passionate about data engineering and meet the qualifications listed above, we encourage you to apply.