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

BRAMKAS INC. is seeking a motivated and detail-oriented Cloud Data Engineer to join our team. The successful candidate will be responsible for designing and implementing cloud-based data management systems, ensuring robust data pipelines, and optimizing data storage solutions to support analytical capabilities. This role demands a proactive approach to data engineering with a focus on quality, performance, and scalability, allowing our organization to leverage data more effectively in decision-making processes. This position is fully remote and open to U.S. Citizens only.

Job Responsibilities

• Design and implement cloud-based data architectures to support analytical processes.
• Build and maintain efficient ETL (Extract, Transform, Load) processes to integrate data from various sources.
• Collaborate with data scientists and analysts to understand data requirements and optimize data flow.
• Monitor data pipelines for performance and reliability, troubleshooting any issues that arise.
• Implement data quality checks and validation processes to ensure data integrity.
• Stay up-to-date with cloud technologies and best practices in data engineering.
• Provide technical expertise in database design, data modeling, and data migration.
• Optimize data storage solutions for cost-effectiveness and performance.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or related roles.
• Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with data processing frameworks like Apache Spark or Apache Kafka.
• Familiarity with SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, or similar.
• Knowledge of data warehousing solutions and best practices.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Cloud Data Engineer will work with a variety of technologies and tools, including cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). They will utilize programming languages such as Python or Java for scripting and automation. Additionally, experience with data processing frameworks like Apache Spark and database technologies including MySQL and MongoDB will be essential for this role.

Ideal Candidates

Ideal candidates for the Cloud Data Engineer position at BRAMKAS INC. will possess a blend of technical proficiency and analytical skills. They should be self-motivated and demonstrate a strong commitment to quality and performance in their work. The ability to collaborate effectively within teams while handling multiple projects in a fast-paced environment will be crucial. Furthermore, the candidate should exhibit an eagerness to stay current with emerging technologies and practices in the field of cloud data engineering.