Data Engineer

Summary

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

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Work from home