Key skills
JavaSQLAIETLData EngineeringAnalyticsKafkaAWSAzureGCPCloud StorageRedisElasticsearch
About this role
Vorkis is an international engineering team focused on developing a modern surveillance platform for financial institutions. They are seeking a Data Engineer to design and build scalable data pipelines for a US-based FinTech client.
Responsibilities:
- Design and build data pipelines (batch or streaming)
- Process large volumes of data
- Ensure data validation, deduplication, and consistency
- Ingest data from files, cloud storage, or streams
- Prepare data for analytics
- Make architectural decisions
Requirements:
- Strong Data Engineering experience
- SQL and database knowledge
- experience with ETL
- batch or streaming processing
- programming skills in Java or similar
- pipeline design skills
- ability to explain architectural decisions
- novice in: Data Quality
- beginner in: Big Data
- beginner in: Data Pipelines
- competent in: ETL
- competent in: Data Engineering
- competent in: SQL
- competent in: Pipeline
- competent in: JAVA
- novice in: GCP
- novice in: AI
- novice in: AWS
- novice in: Cloud Platforms
- novice in: Azure
- beginner in: FinTech
- beginner in: Kafka
- beginner in: Elasticsearch
- beginner in: Real-Time Processing
- beginner in: Cloud Storage
- beginner in: Redis
- beginner in: B2B