Key skills
AWSAzureCloudETLGoogle Cloud PlatformHDFSJavaKafkaPythonScalaSparkSQLAIMLELTData EngineeringAnalyticsGCPGoogle CloudS3Performance Optimization
About this role
Role Overview
- Build and optimize data pipelines and federated data queries using Starburst
- Integrate data from multiple sources (databases, data lakes, warehouses)
- Ensure data performance, reliability, and governance
- Work with analytics, AI/ML, and business teams to deliver scalable data solutions
Requirements
- 8+ Years of experience
- Strong experience with Starburst / Trino / Presto
- Hands-on experience in Data Engineering and Data Platforms
- Expertise in SQL and query performance optimization
- Experience working with Data Lakes (AWS S3 / ADLS / HDFS)
- Good programming knowledge in Python / Java / Scala
- Experience with ETL/ELT pipelines and distributed data processing
- Familiarity with Big Data tools like Spark, Kafka, Iceberg, Delta Lake
- Experience with AWS / Azure / GCP cloud platforms
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Google Cloud Platform
- HDFS
- Java
- Kafka
- Python
- Scala
- Spark
- SQL