Key Responsibilities:

Monitor and maintain the health and performance of our company's big data infrastructure, including Hadoop clusters, data warehouses, and ETL processes
Troubleshoot and resolve any issues or errors with the data systems, ensuring minimal downtime and disruption to data analysis processes
Collaborate with data analysts and engineers to identify and implement improvements to the data infrastructure, such as optimizing data workflows and implementing new tools and technologies
Develop and maintain documentation for data systems and processes, including procedures, troubleshooting guides, and system diagrams
Conduct regular data audits and quality checks to ensure the accuracy and integrity of our data
Assist in the development of data models and data dictionaries to support data analysis and reporting
Continuously monitor and analyze data usage and performance, identifying areas for improvement and making recommendations for optimization
Stay up-to-date with industry trends and advancements in big data technologies, providing insights and recommendations for incorporating new tools and techniques into our data infrastructure

Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field
1-2 years of experience in a similar role, preferably in a fast-paced and data-driven environment
Strong understanding of big data concepts and technologies, such as Hadoop, Spark, and SQL
Experience with data warehousing and ETL processes
Proficiency in programming languages such as Java, Python, or Scala
Familiarity with data visualization tools, such as Tableau or Power BI
Excellent problem-solving skills and the ability to troubleshoot and resolve technical issues quickly and effectively
Strong attention to detail and ability to work with large datasets
Excellent communication and collaboration skills, with the ability to work effectively in a team environment

Join our dynamic team and help us drive data insights that will shape the future of our company.

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