Data Engineer

Description

Job Summary: We are seeking an expert Data Engineer to ensure data availability, quality, and efficiency across the entire analytics architecture by designing and operating robust data pipelines. Key Highlights: 1. Design, develop, and maintain reliable and scalable data pipelines. 2. Apply best practices in Data Engineering, Performance Tuning, and FinOps. 3. Enhance the reliability and scalability of the data infrastructure. Data Engineer A leading retail company is seeking an expert Data Engineer to ensure data availability, quality, and efficiency across the company's entire analytics architecture by designing and operating robust, optimized, and governed data pipelines that support advanced analytics models. Key Responsibilities: * Design, develop, and maintain reliable and scalable data pipelines. * Ensure data is **clean**. * Apply best practices in **Data Engineering, Performance Tuning, and FinOps**. * Enhance the **reliability and scalability of** the data infrastructure. * Collaborate with data scientists and analysts, enabling analysis- and modeling-ready datasets. Requirements: * Bachelor's degree in Computer Engineering, Systems Engineering, Software Engineering, Computer Science, Data Science, Applied Mathematics, Actuarial Science, or related fields. * Knowledge of pipeline automation or cloud architectures (AWS, Azure, or GCP). * Minimum 3 years of verifiable experience in data engineering or equivalent roles within analytical or big data environments. Salary: $28,000\.00 \- $30,000\.00 per month Work Location: On-site employment