Data Engineer

A data engineer designs, builds, and maintains the architecture and systems used to collect, process, and store large volumes of data. This work ensures that data is reliable, high-quality, and easily accessible for data analysts, data scientists, and business users.
Core responsibilitiesDesign data architecture: Choose the most suitable storage and processing technologies, such as data warehouses, data lakes, and streaming systems, to meet business needs.Develop data pipelines: Create automated Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes to move data efficiently from various sources into storage systems.Manage databases: Administer both relational (SQL) and non-relational (NoSQL) databases, ensuring they are optimized for performance, scalability, and security.Ensure data quality: Implement processes to monitor, validate, and clean data to ensure its accuracy, consistency, and reliability.Optimize performance: Continuously tune and improve data systems by optimizing queries, implementing indexing, and ensuring pipelines run efficiently, especially with big data.Collaborate with teams: Work closely with data scientists, analysts, and other stakeholders to understand their data requirements and deliver appropriate solutions.Implement security and governance: Enforce data privacy regulations (e.g., GDPR) and security best practices to protect sensitive information.

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