Cloud Data Solutions Engineer

5 days ago


Lakewood, Ohio, United States Onix Networking Full time

About Onix Networking

We are a trusted cloud consulting company that helps businesses leverage technology with cloud-powered solutions, best-in-class services, and innovative data migration products.

Our 20+ years of cloud experience, depth of technology expertise, and IP-driven data and AI solutions enable us to deliver exceptional results for our customers. We offer tailored solutions across various use cases and industries, from advanced cloud security to innovative AI capabilities.

Job Summary

We are seeking a highly skilled Cloud Data Solutions Engineer to join our team. As a key member of our data warehousing and analytics domain, you will develop data-driven solutions using cloud-based technologies to meet evolving business needs.

Key Responsibilities:

  • Drive Technical Analysis: Work extensively to develop technical designs and solutions that meet all specifications and business requirements.
  • Test Strategy and Development: Design, develop, and implement ETL/ELT applications that interface with customer applications, collaborating with larger development teams while leading and developing test strategy, test plans, and test cases.
  • Analyze Issues and Provide Solutions: Analyze issues identified during the testing phase, proposing new solutions to solve these issues and providing senior-level technical consulting support.
  • Data Migration: Work extensively throughout the cloud ecosystem to migrate data from Teradata, Netezza, similar on-prem big data platforms to cloud-based platforms like BigQuery, SQL, etc.

Requirements:

  • Bachelor's degree in Computer Science or related field.
  • Approximately 8+ years of experience with proven experience with data platforms and big data engineering functions.
  • Hands-on experience with SQL is highly preferred as is quickly learning skills to adapt to GCP's cloud native SQL (i.e., BigQuery).
  • Hands-on experience with Python is highly preferred with Jupyter Notebooks experience also serving as a plus.
  • Hands-on and deep experience working with Google Data Products (i.e., BigQuery, Dataflow, Cloud Composer, Cloud Storage, etc.).
  • Willingness to continuously learn and share learnings with others.
  • Capability to collaborate with stakeholders and project leaders to understand requirements, deliverables, and set expectations on tasks in which you will be responsible.
  • Ability to work in a fast-paced and rapidly-changing environment.
  • Excellent written and verbal communication, presentation, and professional speaking skills.
  • Proven problem-solving skills with an attention to detail and a commitment to excellence and high standards.

Location: Philadelphia, PA (Hybrid)

Salary Range: $150,000 - $200,000 per annum



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