Data Engineer

In the rapidly evolving world of data, a Data Engineer plays a crucial role in transforming raw data into powerful insights. This position requires an individual who is skilled in the design, construction, and management of scalable data processing systems. As a Data Engineer, you will be entrusted with building the infrastructure that enables data storage, processing, and retrieval to support various analytics, reporting, and business intelligence needs of an organization. Your expertise will facilitate the transition of complex data into easily accessible and insightful information, vital for decision-making processes. The ideal candidate will be proficient in various programming languages, possess strong problem-solving skills, and demonstrate a robust ability to collaborate with other teams to optimize data architectures. If you are looking to be at the heart of data innovation and functionality, then the Data Engineer role could be an excellent fit for you.

Responsibilities

• Design, construct, install, and maintain scalable data processing systems with modern tools.
• Develop bespoke data architectures that meet performance and scalability requirements.
• Collaborate with data scientists to enhance data quality and accessibility.
• Ensure data integrity and availability through strategic data management techniques.
• Implement and manage data pipelines to seamlessly gather and process raw data.
• Gather and address feedback from stakeholders to improve data functionality.
• Optimize existing data systems to improve performance and reduce latency.
• Utilize machine learning models to further interpret complex datasets.
• Maintain and improve data security measures to prevent unauthorized data access.
• Develop technical documentation to support data system user understanding.
• Perform detailed data analysis to extract usable insights and recommendations.
• Collaborate with IT and software development teams on data-driven applications.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field preferred.
• Proven experience as a Data Engineer or in a similar data-related role essential.
• Proficiency with SQL, Python, Java, or other relevant programming languages.
• Experience with big data tools such as Hadoop, Spark, or Kafka advantageous.
• Strong understanding of database management systems and data warehousing solutions.
• Excellent problem-solving skills and ability to troubleshoot data-related issues.
• Strong communication skills with the ability to convey complex information effectively.