Data Engineer

Job Description Roles & Responsibilities Job Description As an experienced Data Engineer, you will be responsible for: Design, develop, and maintain robust and scalable ETL/ELT data pipelines using Databricks, Python , and SQL Integrate data from multiple sources (databases, files, APIs, etc.) Transform and clean the data to guarantee its quality and consistency Automate data processing tasks for efficient and reliable execution Implement monitoring and alert processes to ensure pipeline availability and health. Collaborating with data analysts and data scientists to understand their data needs and provide them with high-quality data Document data pipelines and processes clearly and concisely Stay up-to-date on the latest technologies and trends in Big Data and data analytics. Desired Candidate Profile Qualifications Degree in computer engineering, mathematics, statistics or a related field Proficiency in English, both written and spoken. Minimum 5 years of experience as a Data Engineer Expertise in Databricks, Python and SQL Experience in data integration, data transformation, and data cleansing Solid understanding of Big Data architectures Experience in developing batch and streaming data pipelines Experience in setting up monitoring and alert processes Excellent communication and collaboration skills Ability to work independently and manage multiple projects simultaneously. Team spirit and willingness to share knowledge. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Data Engineer Get real-time job updates only on our App