Cloud Data Engineer — Modern Pipelines & Lakehouse (AWS/Azure)

The Planet Group

Columbus (OH)

On-site

USD 69,000 - 110,000

Full time

7 days ago
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Job summary

The Planet Group is seeking a Cloud Data Engineer in Columbus, OH to contribute to modern cloud-based data initiatives for enterprise clients. You will design and deliver scalable data pipelines and lakehouse architectures across AWS, Azure, and other environments, collaborating with clients and internal teams to solve complex business problems.

You will apply strong SQL and data engineering skills to build robust data platforms, handle ETL/ELT processes, and leverage AI-assisted tools to

Qualifications

  • 2+ years of professional Data Engineering experience with ownership of deliverables.
  • Experience with lakehouse patterns, Medallion Architecture, and cloud-based data platforms.

Responsibilities

  • Design, develop, and support production-grade data pipelines and processing solutions.
  • Build scalable data solutions in AWS, Azure, and other cloud environments.
  • Translate business needs into data solutions and collaborate with stakeholders.
  • Develop ETL/ELT processes for ingestion, transformation, cleansing, and delivery.
  • Contribute to modern lakehouse architectures and data patterns across projects.
  • Evaluate approaches and communicate tradeoffs for scalability, performance and cost.
  • Move between client engagements and adapt to new domains and technologies.
  • Leverage AI-assisted development tools to boost productivity and delivery.

Skills

Data pipelines
SQL
Lakehouse architecture
Medallion architecture
Event-driven processing
AWS
Azure
AI-assisted development tools
Client engagement
Communication

Job description

The Planet Group is seeking a Cloud Data Engineer in Columbus, OH to contribute to modern cloud-based data initiatives for enterprise clients. You will design and deliver scalable data pipelines and lakehouse architectures across AWS, Azure, and other environments, collaborating with clients and internal teams to solve complex business problems.

You will apply strong SQL and data engineering skills to build robust data platforms, handle ETL/ELT processes, and leverage AI-assisted tools to

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