The vacancy is well-structured with clear responsibilities and requirements, though it lacks some company details.
Check Match — Just drop your CV
See your fit for Senior Snowflake Data Engineer in seconds.
Overview
Join Luxoft as a Senior Snowflake Data Engineer to modernize data infrastructure for a leading pharmaceutical company, focusing on AWS, AI, and data engineering. The project is for one of the world's famous science and technology companies in the pharmaceutical industry, supporting initiatives in AWS, AI, and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.
What you'll do
- •In-depth knowledge of Snowflake's data warehousing capabilities.
- •Understanding of Snowflake's virtual warehouse architecture and how to optimize performance and cost.
- •Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
- •Develop and optimize complex SQL scripts, stored procedures, and data transformations.
- •Work closely with data analysts, architects, and business teams to understand requirements and deliver reliable data solutions.
- •Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics.
- •Integrate data from various sources including APIs, flat files, relational databases, and cloud services.
- •Ensure data quality, data governance, and compliance standards are met.
- •Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and associated tools.
- •Participate in code reviews, testing, and deployment of data solutions in development and production environments.