Cloud Data Engineer- Only USC - Remote- Full time position

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Written by AI from the job title and company, not by BRAMKAS INC, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Cloud Data Engineer at BRAMKAS INC. will play a critical role in designing and implementing data solutions for the organization. This position involves collaborating with stakeholders to understand their data needs, ensuring the data architecture is optimized for performance, scalability, and security. The ideal candidate will develop robust data pipelines and workflows while leveraging cloud technologies to manage and analyze large datasets effectively, contributing to data-driven decision-making across the company. This is a remote, full-time position open exclusively to U.S. Citizens.

Job Responsibilities

• Design, build, and maintain scalable data pipelines for data ingestion and processing.
• Collaborate with data scientists and analysts to understand their data requirements and optimize performance metrics.
• Implement data integration processes using cloud-based solutions.
• Monitor and troubleshoot data workflows and architecture.
• Develop strategies for data storage, retrieval, and archiving in cloud environments.
• Ensure data quality and data governance practices are aligned with organizational standards.
• Document data engineering processes and maintain the data architecture documentation.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or similar role in a cloud environment.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with data warehousing solutions and ETL processes.
• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration abilities.

Technologies & Tools

In this role, the Cloud Data Engineer will primarily utilize cloud technologies and tools such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform for data storage and processing. Familiarity with data integration tools like Apache Kafka, Apache Spark, or Talend will be advantageous. Knowledge of database management systems such as SQL or NoSQL databases will also be essential, along with proficiency in data modeling and data visualization tools.

Ideal Candidates

The ideal candidate for this position is a proactive and detail-oriented professional who possesses a strong analytical mindset and a passion for data. They should be comfortable working in a fast-paced, collaborative environment and have a strong desire to continuously learn and adapt to new technologies. An effective communicator, the candidate must be able to translate complex technical concepts to stakeholders with varying degrees of technical knowledge, ensuring that the data solutions align with business objectives.