Data Engineer

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