Senior Snowflake Engineer

Tech Stack:

• Snowflake
• AWS
• SQL
• Python
• ETL Development
• Data Warehousing
• Data Modeling
• CI/CD
• Spark (nice to have)
• Azure (Databricks, Synapse, Fabric)

Project Description:

We are looking for a Senior Snowflake Engineer to join a data-focused team responsible for developing, maintaining, and optimizing cloud-based data solutions built on Snowflake within an AWS environment.

In this role, you will work on enhancing existing data platforms, improving data quality, ensuring platform stability, and supporting critical business processes through reliable and scalable data solutions. You will play a key role in troubleshooting production issues, optimizing system performance, and driving cost-efficient data operations.

About Spyrosoft

Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.

Daily tasks

• Develop, maintain, and enhance ETL processes within the Snowflake platform
• Extend and adjust existing data models and warehouse structures
• Monitor, analyze, and improve data quality across the platform
• Administer Snowflake environments, including roles, warehouses, and access management
• Investigate, troubleshoot, and resolve issues within data pipelines and warehouse solutions
• Optimize Snowflake workloads for performance, scalability, and cost efficiency
• Collaborate with data engineering teams and stakeholders to deliver reliable data solutions
• Support operational excellence and continuous improvement initiatives within the data platform ecosystem

Requirements

5+ years of experience in Data Engineering Strong hands-on experience with Snowflake in AWS environments Advanced SQL skills Solid programming experience in Python Proven experience developing, maintaining, and optimizing data pipelines Strong troubleshooting and problem-solving skills Experience with performance tuning and cost optimization Knowledge of data warehousing concepts and data modeling Ability to work effectively in production support and enhancement activities

Nice to Have:

• Experience with Azure services such as Databricks, Synapse, or Fabric
• Familiarity with Apache Spark
• Experience with CI/CD practices and tools
• Knowledge of data governance and data quality frameworks
• Experienced in using AI tools in day-to-day workflow

Must have: Data engineering, Snowflake, AWS, SQL, Data pipelines, Data modeling, Performance tuning

Nice to have: Azure, Databricks, Apache Spark, CD, AI