Senior Data Engineer

<ul> <li>Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable <strong>ETL processes</strong> using <strong>Python</strong> and <strong>DataBricks.</strong> </li> <li>Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs.</li> <li>Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency.</li> <li>Creating and manage <strong>data pipeline</strong>s, ensuring proper error handling, monitoring and performance optimizations.</li> <li>Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives.</li> <li> <strong>Conducting code reviews</strong>, provide constructive feedback, and enforce coding standards to maintain a high quality.</li> <li>Developing and maintain tooling and automation scripts to streamline repetitive tasks.</li> <li>Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes.</li> <li>Utilizing REST APIs and other integration techniques to connect various data sources.</li> <li>Maintaining documentation, including data flow diagrams, technical specifications, and processes.</li> </ul><p><strong>Requirements</strong></p><ul> <li>Bachelor’s/Master’s Degree in Computer Science, Mathematics or a related discipline.</li> <li> <strong>7+ years</strong> of experience in data engineering.</li> </ul><ul> <li>Proficiency in <strong>Python programming</strong>, including experience in writing efficient and maintainable code.</li> <li>Hands-on experience with <strong>cloud services</strong>, especially <strong>DataBricks</strong>, for building and managing scalable data pipelines.</li> <li>Proficiency in working with <strong>Snowflake</strong> or similar cloud-based data warehousing solutions.</li> <li>Solid understanding of <strong>ETL principles, data modelling, data warehousing concepts</strong>, and data integration best practices.</li> <li>Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced, dynamic environment.</li> <li>Knowledge of <strong>Linux</strong> operating systems.</li> <li>Familiarity with REST APIs and integration techniques.</li> <li>Experience with code versioning tools (e.g., Git).</li> <li>Meticulous attention to detail and a passion for problem solving.</li> <li>A good command of English and in general good communication skills.</li> <li>Strong analytical and problem solving skills.</li> <li>Strong collaboration and communication skills.</li> </ul><ul><li>Hungarian citizenship and fluent Hungarian/English language skills is a must.</li></ul><p></p><p><strong>Advantages</strong></p><ul> <li>Familiarity with <strong>data visualization tools</strong> and libraries (e.g., Power BI).</li> <li>Background in database administration or performance tuning.</li> <li>Familiarity with data orchestration tools, such as Apache Airflow</li> <li>Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing.</li> </ul><p><strong>Benefits</strong></p><ul> <li>You will have the opportunity to gain experience in exciting, long-term, innovative projects, </li> <li>Work in a multinational environment,</li> <li>A team of great engineers,</li> <li>Cafeteria.</li> </ul>