Position Details
About this role
This role involves working on big data projects using Databricks and Apache Spark, providing data engineering and data science solutions in cloud environments.
Key Responsibilities
- Designing big data architectures
- Building reference architectures
- Implementing customer projects
- Providing technical support
- Collaborating with engineering and support teams
Technical Overview
Environment includes Databricks platform, Apache Spark, cloud ecosystems (AWS, Azure, GCP), with a focus on distributed computing, MLOps, and data architecture design.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 6+ years of experience in data platforms, proficient in Apache Spark, Python, and cloud ecosystems like AWS, Azure, or GCP. They have a strong background in distributed computing, MLOps, and delivering technical projects for SaaS or data analytics platforms.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 6 years of experience, Lack of cloud or Spark experience, No experience with distributed computing, Unwilling to travel 20%
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