Position Details
About this role
This role involves developing and maintaining data infrastructure systems, focusing on cloud-based data pipelines, distributed processing, and leveraging big data tools to support analytics and data governance.
Key Responsibilities
- Develop production backend and infrastructure code
- Build data pipelines
- Manage cloud infrastructure
- Optimize data systems
- Lead end-to-end data projects
Technical Overview
The environment includes AWS, Databricks, Spark, Terraform, and monitoring tools like Datadog and Grafana, with a focus on building scalable, reliable data systems using Python and Scala.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 4+ years of experience in cloud infrastructure, proficient in AWS, Databricks, Spark, and scripting languages like Python and Scala, with a strong understanding of distributed data systems.
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 or Databricks, No experience with distributed data processing, Less than 4 years of relevant experience
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