Staff Data Engineer

Descripción del puesto

A Staff Data Engineer/Architect is responsible for designing, implementing, and maintaining an organization's databases, data warehouses, and data processing architectures. They play a crucial role in managing and safeguarding company data, developing strategies for data acquisition, and optimizing data retrieval. They ensure that all data systems meet company and client needs.

Responsibilities:

• Meticulously design, construct, and manage large-scale, robust data architectures. Responsible for overseeing the development of comprehensive databases, data lakes, and data warehouses.
• Frequently evaluate and enhance the performance of data management systems, ensuring they meet both technical and business requirements.
• With a strategic approach,consistently develop and implement data governance policies and procedures to ensure the integrity, confidentiality, and availability of enterprise data.
• Be regularly in coordination with cross-functional teams, such as software developers, data scientists, and IT staff, to ensure that data solutions are optimized and aligned with company goals.
• Efficiently liaise with globally based business teams and local project management teams to understand their data needs and provide suitable solutions.
• Accountable for leading the data architecture vision and strategy for the organization, often presenting to stakeholders and executive teams.
• Frequently review existing systems and processes, identifying areas for improvement and implementing changes in a timely and effective manner.
• Actively stay abreast of the latest industry developments, technologies, and best practices in data management, participating in professional development opportunities as needed.
• Operate with a high degree of independence but also collaborate extensively with various teams and stakeholders within the organization to ensure the effectiveness of data systems and strategies.
• Mentor and guide junior data engineers and other technical staff, promoting a culture of continuous learning and improvement within the team.

Requisitos

Requirements:

• Data Architecture Skills: Proficiency in designing, implementing, and maintaining scalable and robust data architectures. This includes understanding of data warehousing, data lakes, and databases.
• Architecture Tradeoffs: Ability to evaluate and articulate the tradeoffs of different architectural solutions. This includes considerations of cost, performance, scalability, reliability, and security.
• Machine Learning Pipelining: Expertise in designing and implementing data pipelines for Machine Learning. This involves understanding of data extraction, transformation, and loading (ETL) processes, as well as feature engineering and model deployment. Understanding of how data quality impacts the performance of these algorithms.
• Data Modeling and Design: Expertise in logical and physical data modeling, with the ability to design optimized data structures for Machine Learning applications.
• Technical Skills: Proficiency in tools and technologies used for managing big data (like Hadoop, Spark) and developing Machine Learning models (like Python, R, and TensorFlow).
• Analytical and Problem-Solving Skills: Ability to analyze complex data, identify patterns, and solve problems. This includes troubleshooting issues in data pipelines and optimizing them for better performance.
• Communication Skills: Ability to clearly articulate complex data architecture concepts and tradeoffs to both technical and non-technical stakeholders.
• Project Management Skills: Ability to manage and prioritize multiple projects, often with tight deadlines.
• Continuous Learning: Keep up-to-date with the latest trends and advancements in data architecture and Machine Learning, and apply this knowledge to improve existing systems and processes.

Experience

• Minimum 8 years as a Senior Data Engineer or higher in a professional environment.
• Bonus: prior decision-making and leadership of large-scale architecture modernization, working with stakeholders across org.

Beneficios

Benefits

• National public holidays.
• Vacations: 3 weeks per year.
• Work laptop provided.

Detalles