Demo

Senior Cloud Solution Engineer

Euclid Innovations
Charlotte, NC Full Time
POSTED ON 2/25/2025
AVAILABLE BEFORE 5/18/2025

Job Description : Senior Cloud Solution Engineer

Location : Charlotte, NC (Hybrid)

Overview : We are seeking a highly skilled Senior Cloud Solution Engineer with expertise in solution building, design, and optimization on cloud platforms. The ideal candidate will have experience with BigQuery, Jupyter Notebooks, Airflow, Dataplex / Dataproc, and advanced optimization and scheduling techniques to transform and manage data effectively.

Responsibilities :

  • Solution Design and Architecture : Design scalable, robust, and secure cloud-based solutions leveraging tools like BigQuery, Dataplex, and Dataproc for data transformation and management.
  • Data Transformation and Processing : Implement and optimize ETL / ELT pipelines using Dataproc, Dataplex, and other cloud-native tools.
  • Scheduling and Workflow Automation : Develop, deploy, and manage workflows using Apache Airflow to ensure efficient scheduling and data orchestration.
  • Data Analysis and Visualization : Utilize Jupyter Notebooks for exploratory data analysis, prototyping, and visualization to provide actionable insights.
  • Performance Optimization : Design and implement optimization strategies for data processing pipelines to enhance performance and reduce costs.
  • Collaboration : Work closely with cross-functional teams, including data engineers, analysts, and stakeholders, to gather requirements and deliver tailored solutions.
  • Cloud Governance : Ensure compliance with best practices in cloud security, governance, and data integrity.
  • Continuous Improvement : Stay updated with the latest advancements in cloud technologies and recommend tools and practices to enhance team efficiency and productivity.

Qualifications :

  • Proven experience in solution building and design on cloud platforms (e.g., GCP, AWS, Azure).
  • Strong hands-on expertise with BigQuery, Dataplex, Dataproc, and other cloud-native data tools.
  • Proficiency in workflow management and scheduling tools such as Apache Airflow.
  • Experience with Jupyter Notebooks for data analysis and visualization.
  • Solid understanding of optimization techniques and scheduling algorithms for large-scale data processing.
  • Programming skills in Python, SQL, and cloud SDKs.
  • Familiarity with distributed computing, data lakes, and data warehouses.
  • Strong problem-solving, analytical, and communication skills.
  • Knowledge of cloud security and compliance standards.
  • Preferred Skills :

  • Experience with ML / AI models integrated into data pipelines.
  • Familiarity with other cloud services (e.g., AWS Redshift, Azure Synapse).
  • Certification in cloud platforms such as Google Cloud Professional Data Engineer or similar.
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