Snowflake Data Engineer

Responsibilities

• Design and implement new greenfield Snowflake data platform architectures
• Drive platform setup, integration, performance optimization, and capacity planning
• Implement automation, CI/CD, and Infrastructure-as-Code for the Snowflake platform
• Define ELT/ETL frameworks using Snowflake SQL, dbt, and enterprise ETL tools
• Establish data ingestion and transformation patterns for large-scale datasets
• Integrate Snowflake with AWS, Azure, or GCP data ecosystems
• Ensure compliance with regulatory standards and data governance requirements
• Implement security frameworks including RBAC, data masking, and encryption
• Provide technical leadership, code reviews, and mentoring to engineering teams
• Engage with stakeholders for requirement analysis and solution design

Requirements

• 5+ years of experience in data engineering
• 4+ years of hands-on experience with Snowflake
• Proficiency with dbt, Informatica, Matillion, or similar ETL tools
• Strong SQL expertise and data modelling skills (Kimball or Data Vault)
• Experience with cloud data services (AWS, Azure, or GCP)
• Proven experience leading large-scale data engineering teams

Preferred Qualifications

• Experience in the Banking or Financial Services industry
• Knowledge of payments, lending, and risk/regulatory reporting systems
• Experience with Python, PySpark, and data automation frameworks
• Exposure to real-time data processing using Kafka or streaming technologies
• Familiarity with data governance tools such as Collibra or Alation

About the Company

Luxoft is a global provider of high-end software engineering services, helping leading enterprises accelerate their digital transformation through cutting-edge technology solutions.