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.
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