<p><strong>What role you will play in team:</strong> Design, build, and maintain data pipelines and infrastructure to support data analysis and machine learning initiatives.</p><p><strong>What you will do:</strong> Work with large datasets, ensuring data quality and efficiency, and collaborating with data scientists and engineers.</p><p><strong>Key responsibility:</strong><ul><li>Design, build, and maintain data pipelines.</li><li>Develop and maintain data warehouses.</li><li>Ensure data quality and accuracy.</li><li>Collaborate with data scientists and engineers.</li><li>Implement data security and governance policies.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in computer science or a related field.</li><li>2-4 years of experience as a data engineer.</li><li>Proficiency in SQL, Python, and cloud computing platforms (AWS, Azure, or GCP).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A challenging and rewarding work environment.</li><li>Health insurance, paid time off, and other benefits.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves designing data pipelines, resolving data-related issues, collaborating with the team, and working on infrastructure improvements.</p>