Cloud Data Engineer (Hybrid) - Remote | WFH

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Overview

The Cloud Data Engineer at Get It Recruit - Information Technology will play a critical role in designing, developing, and maintaining scalable cloud data solutions. This position requires a solid understanding of cloud architectures, data modeling, and ETL processes. The successful candidate will collaborate with cross-functional teams to ensure that data pipelines are efficient and reliable, enabling data-driven decision-making across the organization. This hybrid remote position provides the flexibility to work from home while also participating in on-site collaboration as needed.

Job Responsibilities

• Design and implement data pipelines to efficiently move data between various cloud services and on-premise storage.
• Monitor and optimize data processes, ensuring high availability and performance.
• Collaborate with data architects and data scientists to identify data requirements and improve data usability.
• Maintain data compliance and security best practices across all data integration and storage operations.
• Provide ongoing support and troubleshooting of data-related issues in a cloud environment.
• Document processes, data flows, and architectures to maintain clarity and improve knowledge sharing.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or a related field, preferably in a cloud environment.
• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data modeling, ETL processes, and data warehousing techniques.
• Proficiency in programming languages such as Python, Java, or Scala.
• Familiarity with SQL and NoSQL databases.
• Excellent analytical and problem-solving skills.
• Effective communication skills and the ability to work in a team environment.

Technologies & Tools

The Cloud Data Engineer will utilize a broad range of technologies and tools including cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Proficiency in data engineering tools like Apache Spark, Apache Kafka, or Talend is essential. The role will also require familiarity with databases such as MySQL, MongoDB, or Redshift, as well as data visualization tools like Tableau or Power BI for reporting purposes.

Ideal Candidates

The ideal candidate for this role will possess a passion for data and a strong desire to utilize innovative technologies to solve complex data challenges. They should demonstrate a proactive approach to learning and applying new technologies and methodologies while maintaining a keen attention to detail. Strong collaboration skills are pivotal, as this role often requires interfacing with various teams. A customer-focused mindset and adaptability to changing requirements will also contribute to success in this position.