Designing, building, and configuring Snowflake environments from scratch
Integrating Snowflake with existing client infrastructure and ensuring seamless connectivity across systems
Designing and implementing scalable data pipelines and managing end-to-end data flow processes
Working with structured and semi-structured data formats and ensuring efficient ingestion and transformation
Developing and maintaining robust data processing solutions, including file-based ingestion and API integrations
Going beyond standard dbt usage by leveraging full Snowflake capabilities as a platform
Collaborating with internal teams to align data engineering solutions with business and technical requirements
Ensuring high performance, reliability, and scalability of data platforms

Deep, hands-on expertise in Snowflake
Strong expertise in SQL, including advanced techniques such as window functions, recursive queries, dynamic SQL, stored procedures, and cursors
Extensive hands-on experience with Snowflake, including environment setup, configuration, and optimization
Experience with ETL processes and tools such as Azure Data Factory or similar solutions
Proven ability to design and build scalable and efficient data pipelines
Experience working with semi-structured data and file processing formats such as JSON, CSV, XLSX, and Parquet
Experience integrating systems via REST APIs and handling authentication mechanisms such as OAuth

Senior Data Engineer, Snowflake

Key skills