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Location: Remote (Minnetonka, MN) Duration: W2 Only Contract Experience: 10+ Years Job Description
Data Engineer. We are seeking an experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with expertise in Azure Databricks, SQL, PySpark, and real-time data streaming using Kafka or other eventing solutions. Responsibilities
Design, develop, and maintain data pipelines for ingesting, processing, and transforming large-scale data sets. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement efficient solutions. Optimize data pipelines for performance, scalability, and reliability. Implement real-time data streaming solutions using Kafka or similar technologies. Troubleshoot and resolve data pipeline issues. Ensure data quality and consistency across the platform. Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field. Experience in data engineering. Proficiency in Azure Databricks, SQL, and PySpark. Strong understanding of data modeling, ETL processes, and data warehousing. Experience with real-time data streaming using Kafka or other eventing solutions. Familiarity with cloud platforms (Azure, AWS or GCP). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Skill Highlights- please indicate the # of years on each of the following skills:
Experience in data engineering. Azure Databricks SQL PySpark Data modeling ETL processes Data warehousing. Experience with real-time data streaming using Kafka or other eventing solutions. Familiarity with cloud platforms Azure AWS, or GCP If you are interested, Please share your resume with below basic details: Basic Details:
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Compétences linguistiques
- English
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