Senior Data Engineer

🔥 36 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Design, develop, and maintain data solutions in Snowflake • Develop and optimize complex SQL queries and data transformations • Support migration of legacy and Excel-based processes into Snowflake • Design and improve data models for reporting and analytics • Perform data validation and reconciliation between legacy and modern data sources • Ensure data quality, consistency, and reliability across solutions • Troubleshoot and resolve complex data-related issues • Collaborate with business stakeholders and analytics teams to define data requirements • Work independently and take ownership of data engineering activities

🎯 Requirements

• Strong hands-on experience with Snowflake • Strong SQL expertise • Solid experience with data warehousing concepts and practices • Experience with data modeling and data transformation • Experience with data migration, validation, and reconciliation • Good understanding of data quality principles • Strong analytical and troubleshooting skills • Ability to work independently in a distributed environment • Good communication and collaboration skills • English level: Upper-Intermediate or higher

🏖️ Benefits

• Employees can work remotely

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