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Data Warehouse Specialist for Cloud Solutions

1 tydzień temu


Gdańsk, Polska emagine Polska Pełny etat
Company Overview
emagine Polska is a forward-thinking organization that specializes in delivering innovative data solutions. Our team of experts strives to push the boundaries of what is possible with data and technology.

Job Description
We are seeking an experienced Data Warehouse Specialist for Cloud Solutions to join our team. As a key member of our Data Engineering department, you will be responsible for designing, implementing, and maintaining data warehouse solutions using Snowflake. Your primary focus will be on ensuring the accuracy, integrity, and security of our clients' data. This role requires strong analytical and problem-solving skills, as well as excellent communication and collaboration abilities. You will work closely with cross-functional teams to deliver high-quality projects and meet project deadlines.

Main Responsibilities:
• Execute data warehouse testing with a focus on Snowflake features such as Time Travel and zero-copy cloning
• Validate large datasets using SQL queries and ensure data accuracy and integrity
• Integrate into existing data architectures and workflows, including automation of data validation processes
• Collaborate with development teams to ensure project deadlines are met and deliver high-quality results

Required Skills and Qualifications:
• Proven experience in data warehouse testing and design
• Strong proficiency in SQL for querying and validating data
• Familiarity with Snowflake features and dbt testing
• Experience with AWS and BIG data/ETL processes
• Excellent analytical and problem-solving skills, with the ability to quickly understand existing data workflows

Benefits
As a valued member of our team, you can expect a competitive salary, opportunities for professional growth and development, and a dynamic work environment. We offer flexible working hours and a hybrid work model, allowing you to maintain a healthy work-life balance. Join our team and contribute to shaping the future of data-driven solutions