Senior Cloud Infrastructure Data Engineer

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

Job Overview

The Senior Cloud Infrastructure Data Engineer at Steneral Consulting will be responsible for designing, implementing, and maintaining robust cloud data architectures. This role demands a strategic approach to data management in cloud environments, working collaboratively with various teams to ensure streamlined data flow and accessibility. The ideal candidate will leverage advanced analytical skills to optimize data ecosystems while ensuring compliance with best practices in security and performance. This position requires strong technical expertise and the ability to translate complex data requirements into technical specifications that drive actionable insights and support business objectives.

Job Responsibilities

• Design and implement scalable cloud-based data solutions in line with business requirements.
• Manage and optimize data pipelines for performance, reliability, and cost-effectiveness.
• Develop data models and architectures that meet the needs of various teams across the organization.
• Collaborate with software engineers, data scientists, and business stakeholders to gather and translate data requirements.
• Ensure data quality and integrity by implementing appropriate data governance practices.
• Monitor and troubleshoot data systems to resolve issues and improve functionality.
• Stay updated on emerging cloud technologies and best practices to enhance the existing data infrastructure.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum of 5 years of experience in data engineering, with significant exposure to cloud platforms such as AWS, Azure, or Google Cloud.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions and ETL processes.
• Strong understanding of database technologies, including SQL and NoSQL databases.
• Familiarity with data visualization tools and techniques.
• Knowledge of data privacy regulations and best practices in data management.

Technologies & Tools

The Senior Cloud Infrastructure Data Engineer will primarily work with cloud service providers such as AWS, Azure, or Google Cloud to design and implement data solutions. Additional technologies may include data processing frameworks like Apache Spark, data warehousing solutions such as Snowflake or Redshift, and tools for data integration and automation like Apache NiFi or Talend. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes may also be beneficial to enhance system efficiency and deployment.

Ideal Candidates

Ideal candidates for the Senior Cloud Infrastructure Data Engineer position possess strong analytical and problem-solving skills, enabling them to effectively tackle complex data challenges. They are detail-oriented individuals who uphold data integrity and security while demonstrating a profound commitment to excellence. Excellent communication skills are essential, as candidates will be required to collaborate across various teams and articulate complex concepts in an accessible manner. A proactive learner with a passion for emerging technologies will thrive in this role, driving innovation within the organization's data infrastructure.