Data Engineer

O projekcie: 🔹 For our Client we are looking Data Engineer🔹 Possible location in Poland : Warszawa/Wrocław/Poznań/Gdańsk/Kraków The standard working model includes 2 days per week in the office. However, there is flexibility depending on individual arrangements - occasional visits to the office for team meetings are also possible. We are seeking a skilled and proactive Data Engineer with hands-on experience in AWS Redshift, data pipeline development, and version control systems such as Git. The ideal candidate will be responsible for building, optimizing, and maintaining robust data pipelines and managing workflows that support our analytics and business intelligence initiatives. Wymagania: - AWS Redshift, primarily S3 , Cloud 9 - Proficient in - Git , Airflow, DBT - Should have a good understanding of SDLC and Agile methodologies - Basic knowledge of Python - Good understanding of data warehouse architecture and cloud-based data engineering principles. - Good to have domain knowledge of telecommunication industry Codzienne zadania: - Design, develop, and maintain scalable data pipelines using AWS Redshift, primarily S3 , Cloud 9 - Proficient in - Git , Airflow, DBT - Integrate and manage data workflows in Git repositories, including branching, pull requests, and version control best practices - Optimize Redshift performance through best practices in schema design, data partitioning, and query optimization - Monitor pipeline health and data quality; implement alerting and logging as needed. - Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to understand data needs and deliver reliable datasets. - Participate in code reviews, testing, and documentation. - Should have a good understanding of SDLC and Agile methodologies - Basic knowledge of Python - Good understanding of data warehouse architecture and cloud-based data engineering principles. - Good to have domain knowledge of telecommunication industry