Job
Description
Role Overview: At Capgemini Engineering, you will work in the area of Software Engineering, focusing on the development, maintenance, and optimization of software solutions and applications. Your role will involve applying scientific methods to analyze and solve software engineering problems. You will be responsible for the development and application of software engineering practice and knowledge in research, design, development, and maintenance. Your work will require original thought, judgment, and the ability to supervise the technical and administrative work of other software engineers. Additionally, you will collaborate and act as a team player with other software engineers and stakeholders. Key Responsibilities: - Apply scientific methods to analyze and solve software engineering problems. - Develop and apply software engineering practice and knowledge in research, design, development, and maintenance. - Exercise original thought and judgment while supervising the work of other software engineers. - Build skills and expertise in software engineering discipline to meet standard expectations defined in Professional Communities. - Collaborate and act as a team player with other software engineers and stakeholders. Qualifications Required: - 4+ years of experience in data architecture, data warehousing, and cloud data solutions. - Minimum 3+ years of hands-on experience with end-to-end Snowflake implementation. - Experience in developing data architecture and roadmap strategies, with knowledge of establishing data governance and quality frameworks within Snowflake. - Expertise or strong knowledge in Snowflake best practices, performance tuning, and query optimization. - Experience with cloud platforms like AWS or Azure and familiarity with Snowflake's integration with these environments. - Strong knowledge in at least one cloud platform (AWS or Azure) is mandatory. - Solid understanding of SQL, Python, and scripting for data processing and analytics. - Experience in leading teams and managing complex data migration projects. - Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. - Knowledge of new Snowflake features, AI capabilities, and industry trends to drive innovation and continuous improvement. Role Overview: At Capgemini Engineering, you will work in the area of Software Engineering, focusing on the development, maintenance, and optimization of software solutions and applications. Your role will involve applying scientific methods to analyze and solve software engineering problems. You will be responsible for the development and application of software engineering practice and knowledge in research, design, development, and maintenance. Your work will require original thought, judgment, and the ability to supervise the technical and administrative work of other software engineers. Additionally, you will collaborate and act as a team player with other software engineers and stakeholders. Key Responsibilities: - Apply scientific methods to analyze and solve software engineering problems. - Develop and apply software engineering practice and knowledge in research, design, development, and maintenance. - Exercise original thought and judgment while supervising the work of other software engineers. - Build skills and expertise in software engineering discipline to meet standard expectations defined in Professional Communities. - Collaborate and act as a team player with other software engineers and stakeholders. Qualifications Required: - 4+ years of experience in data architecture, data warehousing, and cloud data solutions. - Minimum 3+ years of hands-on experience with end-to-end Snowflake implementation. - Experience in developing data architecture and roadmap strategies, with knowledge of establishing data governance and quality frameworks within Snowflake. - Expertise or strong knowledge in Snowflake best practices, performance tuning, and query optimization. - Experience with cloud platforms like AWS or Azure and familiarity with Snowflake's integration with these environments. - Strong knowledge in at least one cloud platform (AWS or Azure) is mandatory. - Solid understanding of SQL, Python, and scripting for data processing and analytics. - Experience in leading teams and managing complex data migration projects. - Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. - Knowledge of new Snowflake features, AI capabilities, and industry trends to drive innovation and continuous improvement.
