Remote Data Engineer

Description:

• The Data Engineer will be responsible for creating Data Products in Data Mesh Architecture using the Data Vault Methodology in Snowflake.
• They will also analyze and create Data Products in SAP Analytics Cloud, finding integration solutions with current implementations.
• Collaborate with cross-functional teams to gather requirements, define data schemas, and design scalable data pipelines and workflows.
• Mentor and coach junior team members, providing guidance on best practices, code reviews, and technical solutions.
• Drive innovation and continuous improvement in data engineering processes and methodologies, staying updated on emerging trends and technologies.
• Partner with data architects, data scientists, and business analysts to understand data requirements and deliver solutions meeting business needs.
• Ensure data quality, integrity, and security standards are maintained across all data products and pipelines.

Requirements:

• Over 3 years of experience in data engineering, with a proven track record of designing and implementing data products in a production environment.
• Proficiency in data engineering concepts and technologies, including Data Modeling, ETL Concepts, SQL, Snowflake - Data Vault Methodology, and Data Pipelines.
• Experience with SAP Analytics Cloud or willingness to learn and work with this tool.
• Experience working within a Data Mesh Architecture framework is highly desirable.
• Excellent communication and interpersonal skills to collaborate effectively with stakeholders at all levels.
• Strong problem-solving skills, attention to detail, and commitment to delivering high-quality solutions on time and within budget.

Nice-to-have skills:

• Talend
• SAP Analytics Cloud
• CI/CD knowledge
• Data Mesh Principles
• Tableau
• SQL Server, PostgreSQL, SAP
• Python
• Release Management
• Automated Testing / Regression Testing

Benefits:

• Opportunity to work for a digital product engineering company that is scaling rapidly.
• Dynamic and non-hierarchical work culture.
• Remote work option available for employees.
• Chance to work with a diverse team of experts across 36 countries.
• Mentorship and coaching opportunities for career growth.
• Exposure to emerging technologies and trends in the field of data engineering.