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This role primarily involves designing, creating, and managing large datasets using a variety of data technologies and tools. The Data Engineer will also be tasked with developing algorithms and deploying data-driven analytics to business problems.
Job Responsibility:
Develop and implement algorithms to enhance data processing and analytics
Utilize tools like Apache Kafka, Apache Pig, and Apache Spark for data management and processing
Leverage cloud technologies for efficient data storage and retrieval
Collaborate with the team to develop APIs for data usage and sharing
Apply AWS Technologies for managing and processing large datasets
Implement data visualization strategies to represent data in a comprehensible way
Use Google Data Studio for effective data reporting and representation
Work with Apache Hadoop for distributed processing of large data sets across clusters
Ensure the implementation of efficient algorithms for data processing and analytics
Continuously monitor, refine and report on the performance of data management systems
Requirements:
Proficiency in Apache Kafka, Apache Pig, and Apache Spark
Comprehensive understanding of Cloud Technologies
Ability to create and interpret Data Visualization
Experience with Algorithm Implementation
Strong background in Analytics
Familiarity with Apache Hadoop
Expertise in API Development
Proficient in AWS Technologies
Experience with Google Data Studio
What we offer:
Medical, vision, dental, and life and disability insurance
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