Key skills
ApacheAWSCloudETLJavaPythonSparkAnalyticsDatabricksApache Spark
About this role
Role Overview
- Design, develop, and optimize enterprise-scale data pipelines using Apache Spark, Iceberg, Databricks, and AWS services
- Architect scalable solutions for extracting, transforming, and loading structured and unstructured data
- Partner with analytics teams and business stakeholders to deliver high-quality data solutions
- Monitor data pipeline performance and implement improvements
Requirements
- Bachelor's degree in computer science, engineering, or related field, or equivalent practical experience
- 3+ years of hands-on experience with big data cloud-based technologies
- Solid understanding of AWS
- Experience building projects with Databricks and Iceberg is a requirement for this role
- Working knowledge of Python and Java with experience in ETL workflows
- Strong problem-solving skills and ability to manage priorities in a collaborative environment
Tech Stack
- Apache
- AWS
- Cloud
- ETL
- Java
- Python
- Spark
Benefits
- Competitive rewards package
- Annual bonus/commission
- Equity (long-term incentive)
- Comprehensive benefits
- Opportunity for growth