Big Data Lead

Experience Level: 10+ years
The Need :  A highly skilled and experienced Senior Data Engineer to lead and manage R&C’s data landscape. Someone with a strong background in Data Architecture, Data Science, and hands-on expertise in Python. The individual will be responsible for developing and implementing an overarching data strategy, driving best practices, and ensuring the scalability and efficiency of our data systems.

Required Skills and Expertise:

• Experience: 10+ years of experience in data engineering, data architecture, and data science.
• Data Architecture: Proven expertise in designing and managing scalable data architectures, including data lakes, warehouses, and pipelines.
• Data Science: Strong understanding of machine learning, statistical modeling, and data analytics.
• Python Expertise: Hands-on and advanced proficiency in Python for data engineering, automation, and analytics tasks.

Key Responsibilities:

• Design, implement, and optimize scalable data architectures to support business intelligence, analytics, and machine learning initiatives.
• Develop and execute an overarching data strategy that aligns with organizational goals and objectives.
• Lead the development and management of the entire data landscape, including data pipelines, data lakes, and data warehouses.
• Leverage Python programming for data engineering tasks, including automation, data processing, and analytics.
• Provide thought leadership and guidance on emerging trends and technologies in data engineering, data science, and data architecture.