Software Engineer

Role: Snowflake Developer

Location: Poland

100% Remote

B2B Contract

Primary Skillset:

• Data Modeling & ETL: Design, develop, and optimize data models and ETL processes using Snowflake for efficient data storage and analytics.

• Design and implement end-to-end ETL pipelines for loading data from various sources into Snowflake.

• Utilize Snowflake’s built-in features such as tasks, streams, and Snowpipe to automate the ETL process for continuous and batch data loads.

• Implement data transformation logic using SQL, Snowflake Stored Procedures (SQL and Python), and ETL tool to ensure the integrity, accuracy, and consistency of data.

• Optimize data loads and transformations for scalability and performance using Snowflake’s micro-partitioning and clustering features.

• Optimize and tune Snowflake queries, Data Storage, Warehouse for performance and efficiency.

DevOps Integration - Secondary

• Azure DevOps Experience: Proficiency with Azure DevOps for:

• Deploying Snowflake scripts across different environments

• Managing ETL pipeline deployments

• Proficiency in DevOps tools and best practices, with experience deploying Snowflake and ETL tool services.

Qualifications:

• Proven experience as a Snowflake Developer with hands-on experience in Snowflake data warehousing solutions.

• Data Architecture: Strong understanding of Snowflake platform features, including micro-partitioning, file processing from AWS S3, and data quality practices.

• Expertise in writing and optimizing SQL queries, including complex queries, CTEs, and stored procedures (using JavaScript within Snowflake).

• Solid experience in working with Snowflake’s micro-partitioning, file processing from AWS S3, and optimizing data models.

• Strong knowledge of Python for data engineering tasks and automation.