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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.
Job Responsibility:
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:
Proven experience in data engineering with expertise in Snowflake, Python, and ETL processes
Strong knowledge of data warehouse design and optimization
Proficiency in working with Apache Spark, Hadoop, and Kafka
Solid understanding of data modeling, transformation, and integration techniques
Familiarity with data security, privacy, and compliance standards
Ability to troubleshoot and solve complex data-related issues
Excellent communication and collaboration skills to work effectively with cross-functional teams
Bachelor's degree in Computer Science, Information Technology, or a related field
What we offer:
medical, vision, dental, and life and disability insurance