Senior Data Engineer: Databricks on Azure Platform Lead

Floor & Decor Holdings Inc.; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

401k with company match

Employee Stock Purchase Plan

Paid vacation and sick time

Job summary

Floor & Decor Holdings Inc. is looking for a Senior Developer (Data Engineer) to drive impactful data solutions from their Store Support Center in Atlanta, Georgia. You'll play a pivotal role in shaping the company's modern data platform, focusing on migration from legacy systems to a cloud-based solution using Databricks and Azure technologies.

Key responsibilities include designing and building scalable data pipelines, collaborating with business stakeholders, and ensuring data quality and reliability. Ideal candidates have a strong understanding of Python, SQL, and modern data engineering practices.

The role offers various benefits, including bonus opportunities, 401k with company match, and work-life balance with paid time off from day one.

Qualifications

• 5+ years of Data Engineering experience.
• Experience developing production-grade data pipelines.
• Strong proficiency with cloud-based data solutions.

Responsibilities

• Design and build scalable data pipelines.
• Develop cloud-native solutions to improve data quality.
• Partner with stakeholders to gather requirements.

Skills

Python

SQL

Databricks

Spark

Delta Lake

Education

Bachelor's degree in Computer Science or equivalent

Tools

Azure Data Services

Job description

Floor & Decor Holdings Inc. is looking for a Senior Developer (Data Engineer) to drive impactful data solutions from their Store Support Center in Atlanta, Georgia. You'll play a pivotal role in shaping the company's modern data platform, focusing on migration from legacy systems to a cloud-based solution using Databricks and Azure technologies.

Key responsibilities include designing and building scalable data pipelines, collaborating with business stakeholders, and ensuring data quality and reliability. Ideal candidates have a strong understanding of Python, SQL, and modern data engineering practices.

The role offers various benefits, including bonus opportunities, 401k with company match, and work-life balance with paid time off from day one.