Job
Description
Job_Description":" MinutestoSeconds is a dynamic organization specializing in outsourcing services, digital marketing, IT recruitment, and custom IT projects. We partner with SMEs, mid-sized companies, and niche professionals to deliver tailored solutions. We would love the opportunity to work with YOU!! Requirements Reporting to the Senior Data & Insights Manager, the Data Engineer will be a key contributor to the migration of the company reporting platform, focusing on back-end systems and data infrastructure. This role is responsible for ensuring the smooth integration and processing of large-scale data, building robust data pipelines, and creating scalable data products to support multiple applications across the company. The Data Engineer will collaborate with various departments to implement and maintain high-performance data systems that empower business users with actionable insights. Responsibilities also include optimizing data workflows, driving innovation in data engineering processes, and ensuring data integrity throughout the platform migration. Main responsibilities: - Collaboration: Partner with cross-functional teams to understand their data needs and design solutions that streamline data flows and integration across multiple applications. - Data Products: Develop robust data products that serve as the foundation for various business applications, ensuring data availability, reliability, and performance. - Platform Migration: help with back-end migration efforts, ensuring that all data pipelines, storage solutions, and processing systems are transitioned efficiently and without disruption to business operations. - Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines that ensure accurate and timely data delivery to support business intelligence tools and applications. - System Optimization: Continuously optimize and monitor back-end systems, databases, and data workflows to maintain high performance and cost-efficiency. - Problem-Solving: Leverage data engineering expertise to troubleshoot issues, optimize performance, and solve complex challenges related to data storage, processing, and accessibility. - Innovation & Collaboration: Work closely with the Data & IT teams to explore new technologies and methodologies, driving innovation in the company data engineering practices and supporting evolving business needs. Requirements: Must have - University Degree (Data Engineering, Information Systems, or a related field) - 3+ years in a data engineering or similar role, with demonstrated success in supporting data transformation and migration projects, ideally from legacy systems to modern data platforms - Technical Skills: o Data Transformation: Strong experience in ETL/ELT processes, data modeling, and reporting. o SQL Proficiency: Proficient in SQL (any dialect) for data manipulation, transformation, and analysis. o Data Pipelines: Experience building and optimizing data pipelines for large-scale data processing. o Cloud Experience: Familiarity with cloud environments such as Azure, with a focus on tools like Synapse Analytics, Databricks or PySpark - Ability to analyze both structured and unstructured data, with a proactive approach to identifying and solving data issues - Effective communication skills to collaborate with stakeholders across departments, strong problem-solving abilities, and a commitment to data quality and accuracy - English at business level Nice to have - Experience in merchandising projects (inventory management), retail companies ","
