Position Details
About this role
This role involves designing and managing enterprise-scale data solutions, leveraging modern big data technologies and cloud platforms to support business analytics and AI initiatives.
Key Responsibilities
- Design data pipelines
- Oversee data deployment
- Leverage AI/ML tools
- Mentor junior engineers
- Ensure data governance
Technical Overview
The technical environment includes Python, Spark, AWS (S3, Redshift, EMR), Databricks, and data lakehouse architectures. The engineer will develop data pipelines, optimize workflows, and implement AI/ML tools.
Ideal Candidate
The ideal candidate is a senior data engineer with 3+ years experience designing and deploying large-scale data solutions using Python, Spark, and AWS cloud services. They possess strong leadership skills and expertise in modern data architectures.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AWS cloud services, No proficiency in Python or Spark, Less than 3 years of relevant experience, Inability to work in a hybrid environment
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile