Senior Cloud Infrastructure Data Engineer

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Job Overview

At KPG99 INC., we are seeking a highly skilled Senior Cloud Infrastructure Data Engineer who will play a pivotal role in designing, implementing, and maintaining robust data infrastructure solutions within our cloud environment. The successful candidate will leverage their expertise to optimize data pipelines, enhance data integrity, and facilitate seamless integration of diverse data sources. This role requires a blend of strong technical skills, analytical thinking, and teamwork, as the Senior Cloud Infrastructure Data Engineer will collaborate closely with cross-functional teams to deliver high-quality data solutions tailored to meet business needs.

Job Responsibilities

• Design, build, and optimize cloud-based data pipelines for large-scale data integration and transformation.
• Collaborate with data scientists and analysts to understand data requirements and deliver scalable solutions.
• Implement best practices for data governance, security, and data quality within the cloud infrastructure.
• Monitor, troubleshoot, and resolve issues related to data storage, processing, and retrieval.
• Develop and maintain documentation for data processes, systems architecture, and data flows.
• Evaluate and recommend new technologies and tools to enhance the data engineering capabilities.
• Provide mentorship and guidance to junior data engineers and team members.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree is a plus.
• Minimum of 5 years of experience in data engineering or cloud infrastructure roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data warehousing solutions, ETL frameworks, and big data technologies (e.g., Hadoop, Spark).
• Solid understanding of relational and non-relational databases.
• Strong analytical and problem-solving skills, with a keen attention to detail.

Technologies & Tools

The Senior Cloud Infrastructure Data Engineer will work with various cutting-edge technologies and tools, including cloud services (AWS, Azure, or Google Cloud), big data frameworks (Hadoop, Spark), data processing tools (Apache Airflow, Kafka), and databases (SQL and NoSQL databases like MySQL and MongoDB). Additionally, familiarity with data modeling tools and data visualization software will be advantageous in this role.

Ideal Candidates

An ideal candidate for the Senior Cloud Infrastructure Data Engineer position will possess a strong analytical mindset combined with excellent communication skills. They should demonstrate a proactive approach to solving complex problems while effectively collaborating with various stakeholders. Being adaptable in a rapidly changing technological landscape and showing a genuine enthusiasm for data engineering trends will set them apart. Furthermore, a high level of detail orientation and a commitment to maintaining best practices in data management are essential qualities that will contribute to their success in this role.