Snowflake Test Lead

About the employer:

Our Client ranks at the top of the leading companies providing services at the highest level, allowing us to build modern and efficient businesses. The client's objective is to change business operational and technological models and adapt them to a rapidly changing world.

Responsibilities:

• lead the end-to-end testing and validation of scalable, secure, and high-performance data solutions across cloud data platforms,
• manage and mentor a team of QA engineers and data testers, ensuring effective collaboration and delivery,
• oversee the design and implementation of robust testing strategies for data pipelines, data warehouses, and analytics platforms,
• ensure the integrity, accuracy, and performance of data ingestion, transformation, and storage processes in Snowflake,
• develop and maintain comprehensive test plans tailored to Snowflake environments,
• automate data validation processes using SQL and scripting tools,
• validate data security, access controls, and performance tuning configurations in Snowflake,
• support testing of data engineering workflows and integrations within Databricks,
• validate Spark-based transformations, Delta Lake operations, and notebook executions,
• ensure seamless integration between Databricks and Snowflake or other cloud data services.

Requirements:

• deep understanding of Snowflake architecture, including virtual warehouses, databases, schemas, and stages,
• proficiency in SQL for writing complex queries, data validation, and performance tuning,
• experience with Snowflake security features: RBAC, data masking, access control, and encryption,
• knowledge of Snowflake performance optimization techniques (clustering, caching, query profiling),
• familiarity with Snowpipe for continuous data ingestion and Streams & Tasks for data capture (CDC),
• experience with Snowflake Resource Monitors for cost and usage control,
• ability to design and implement automated data validation frameworks in Snowflake,
• understanding of data governance and quality frameworks within Snowflake environments,
• working knowledge of Databricks notebooks, Delta Lake, and Spark-based transformations,
• experience validating data pipelines and workflows in Databricks,
• very good knowledge of English.

Our client offers:

• contract of Employment or a B2B contract,
• for the contract of employment: extensive benefits package - Multisport Card, Lux Med medical healthcare including dental care, life insurance, cafeteria benefits,
• hybrid work model,
• training and continuous learning and certification opportunities.