Position Details
About this role
Publix Shelf Tag team seeks a Senior Software Engineer to lead data engineering efforts using Python and Databricks, bridging on-prem and Azure cloud platforms to build and optimize data pipelines and workflows.
Key Responsibilities
- Lead design and development of data-oriented solutions using Python and Databricks
- Develop and optimize data pipelines and workflows using Databricks
- Collaborate with data engineers, data scientists, and stakeholders
- Mentor and guide junior developers
- Lead technical discussions and influence architectural decisions
Technical Overview
Technical scope includes Python data engineering on Databricks with Spark, Spark SQL, and Delta Lake; hybrid on-prem and Azure/cloud data pipelines; Databricks Jobs and workflow orchestration; Agile collaboration and mentoring.
Ideal Candidate
The ideal candidate is a senior data engineer with deep Databricks experience, strong Python skills, and a proven ability to design data pipelines across on-prem and Azure cloud environments. They should be adept at mentoring others, implementing data quality frameworks, and delivering scalable analytics solutions for Publix shelf tag systems in a hybrid remote/on-site setup.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor’s degree not specified, 5+ years data engineering experience not specified, Databricks on Azure experience preferred
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