Data Engineer

đŸ”„ 3 minutes ago

đŸ‡§đŸ‡· Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

đŸ‘» Ghost score 10%

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Logo of Sigma Software Group

Sigma Software Group

1001 - 5000 employees

Founded 2002

đŸ’Œ Consulting

đŸ„ 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 ETL/ELT pipelines ‱ Build and optimize data transformations for analytics and reporting ‱ Develop and maintain data models, datasets, and integration solutions ‱ Ensure data quality, consistency, and reliability through testing and monitoring ‱ Troubleshoot and resolve data pipeline and performance issues ‱ Collaborate with analysts, engineers, and business stakeholders ‱ Contribute to cloud-based data platforms ‱ Participate in code reviews and technical discussions ‱ Create and maintain technical documentation ‱ Continuously improve data processes and platform performance

🎯 Requirements

‱ 3+ years of experience in Data Engineering or Software Engineering ‱ Upper-Intermediate English level ‱ Strong SQL skills and understanding of relational and dimensional data modeling ‱ Hands-on experience with Python for data processing and automation ‱ Experience building and maintaining ETL/ELT pipelines ‱ Hands-on experience with Databricks and Apache Spark ‱ Experience working with Snowflake ‱ Understanding of data warehousing and modern data platform concepts ‱ Experience working with cloud environments, preferably AWS ‱ Familiarity with CI/CD, Git, and software engineering best practices ‱ Strong analytical, troubleshooting, and communication skills

đŸ–ïž Benefits

‱ Remote work ‱ Opportunities for professional growth ‱ Knowledge sharing ‱ Long-term career development ‱ Supportive engineering environment ‱ Continuous learning ‱ Technical excellence

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