<p><b>What role you will play in team:</b> You will be an integral part of a team responsible for building and maintaining data pipelines and infrastructure for a fast-growing company.</p><p><b>What you will do:</b> You'll learn and work on real-world data engineering tasks, contributing to the improvement of data quality and accessibility.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain data pipelines using tools like Apache Spark and Kafka.</li><li>Build and maintain data warehouses and data lakes.</li><li>Write efficient and scalable data processing code.</li><li>Monitor and troubleshoot data pipeline issues.</li><li>Collaborate with other engineers and data scientists.</li><li>Contribute to the improvement of data engineering processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science or a related field.</li><li>Basic understanding of SQL and data warehousing concepts.</li><li>Familiarity with big data technologies like Apache Spark and Hadoop.</li><li>Experience with cloud platforms like AWS or GCP is a plus.</li><li>Strong problem-solving skills and attention to detail.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Mentorship and guidance from senior engineers.</li><li>A collaborative and fast-paced work environment.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working on data pipeline development, troubleshooting issues, collaborating with teammates, and learning new technologies to enhance data processing capabilities within a dynamic team.</p>