Data Engineer

Description We are looking for a talented Data Engineer to join our team in Fort Lauderdale, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success.

Responsibilities:

• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.
• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.
• Develop and maintain data models to support analytics, reporting, and operational processes.
• Optimize data warehouse performance by tuning queries and managing resources effectively.
• Ensure data quality through rigorous testing and governance protocols.
• Implement security and compliance measures to protect sensitive data.
• Research and integrate emerging technologies to enhance system capabilities.
• Support ETL processes for data extraction, transformation, and loading.
• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.
• Provide technical guidance and support to team members and stakeholders. Requirements
• Proficiency in Apache Spark for big data processing and analytics.
• Strong programming skills in Python for data manipulation and automation.
• Experience with Apache Hadoop for scalable data storage and processing.
• Familiarity with Apache Kafka for real-time data streaming and integration.
• Hands-on expertise in ETL processes for data extraction, transformation, and loading.
• Knowledge of Snowflake or similar cloud-based data platforms.
• Ability to optimize and troubleshoot data queries and workflows.
• Solid understanding of data governance and security protocols.

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