Data Engineer - Databricks
@ Lumenalta

Hybrid
$150,000
Hybrid
Full Time
Posted 9 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX****** @lumenalta.com
Recommended after applying

Job Details

About Lumenalta and the Role

We help global enterprises launch digital products that reach millions of users. Our work spans massive datasets, scalable pipelines, and critical business challenges across industries.

What You’ll Do as Data Engineer - Databricks

  • Lead technical direction for data engineering initiatives.
  • Architect scalable data pipelines and systems using PySpark, AWS, and Databricks.
  • Guide and mentor a team of engineers, fostering best practices and code quality.
  • Collaborate with stakeholders across product, engineering, and data teams.
  • Solve enterprise-scale data challenges that impact real-world business outcomes.

What We’re Looking For

  • 10+ years in data engineering or related roles.
  • Experience leading technical teams or projects.
  • Strong hands-on expertise in Python, SQL, PySpark, AWS, and Databricks.
  • Deep understanding of data architecture and pipeline design.
  • Excellent communication and leadership skills.
  • Fluent in English (spoken and written).

Work Arrangement

This role is 100% Remote. Ensure you have a comfortable office at your desired work location.

Key skills/competency

  • Data Engineering
  • Databricks
  • PySpark
  • AWS
  • Python
  • SQL
  • Scalable Pipelines
  • Leadership
  • Data Architecture
  • Collaboration
Apply without a personalized resume

How to Get Hired at Lumenalta

🎯 Tips for Getting Hired

  • Research Lumenalta's culture: Understand mission, values, and projects.
  • Customize your resume: Highlight Python, SQL, PySpark skills.
  • Showcase leadership: Emphasize team mentoring and project management.
  • Prepare technical details: Be ready to discuss scalable pipeline design.

📝 Interview Preparation Advice

Technical Preparation

Review PySpark and Databricks documentation.
Practice SQL queries and data pipeline design.
Familiarize with AWS cloud services and architecture.
Study scalable system case studies.

Behavioral Questions

Describe your team mentoring experiences.
Explain a challenging data project you led.
Discuss handling stakeholder communication effectively.
Share examples of technical decision-making.

Frequently Asked Questions