DataEngineer

Data engineering is the discipline focused on designing, building, and maintaining the systems and infrastructure that enable the collection, storage, processing, and delivery of data at scale. Data engineers develop robust data pipelines that transform raw data from various sources into clean, usable information for analytics, business intelligence, and machine learning.
Key responsibilities of data engineering include:

• Designing and constructing data architectures, such as databases, data warehouses, and data lakes
• Developing and managing data pipelines to automate the movement and transformation of data (ETL: Extract, Transform, Load)
• Cleaning, validating, and integrating data from multiple sources to ensure accuracy and reliability
• Optimizing data storage and retrieval for performance and scalability
• Ensuring data security, compliance, and governance throughout the data lifecycle
• Collaborating with data scientists, analysts, and business teams to deliver data in formats suitable for analysis and decision-making