Cloud Data Engineer (12+) (W2 or 1099 Only)

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

Position Overview

Infotech Spectrum Inc. is seeking a highly skilled Cloud Data Engineer with 12+ years of experience to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying robust data solutions in cloud environments. This role will involve collaboration with cross-functional teams to enhance data flows, ensure the integrity of data systems, and leverage cloud technology for effective data management. The candidate will also be responsible for optimizing and scaling data processing architectures to meet organizational requirements efficiently.

Job Responsibilities

• Design, develop, and optimize data pipelines and ETL processes in cloud environments.
• Implement and maintain data architectures and warehouse solutions in collaboration with data scientists and analysts.
• Ensure data quality and integrity through auditing and monitoring mechanisms.
• Collaborate with product teams to understand data requirements and provide data solutions using cloud technologies.
• Develop and maintain documentation for data processes and tools.
• Utilize automation tools to streamline data processing workflows.
• Stay updated on emerging technologies and best practices in cloud data engineering.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• A minimum of 12 years of experience in data engineering or a similar role.
• Expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with SQL and NoSQL databases, including data modeling and performance tuning.
• Strong understanding of data warehousing, data lakes, and data governance principles.
• Experience with data orchestration tools like Apache Airflow, Prefect, or similar.

Technologies & Tools

The Cloud Data Engineer will work primarily with cloud technologies and tools including, but not limited to, AWS S3, AWS Redshift, Azure SQL Database, Google BigQuery, Apache Spark, and various data visualization tools like Tableau and Power BI. Familiarity with CI/CD practices using tools such as Jenkins or Git is also essential. The role requires a solid understanding of both batch and stream processing frameworks.

Ideal Candidates

Ideal candidates for this position will be proactive thinkers with a solution-oriented mindset. They should possess strong analytical skills and the ability to work collaboratively within teams. Excellent communication skills are essential to articulate complex data-related concepts to non-technical stakeholders. A passion for technology and a commitment to continual learning in the rapidly evolving field of cloud data engineering will also make a candidate stand out.