<p><strong>What role you will play in team:</strong> You'll be a key member of our team, responsible for building and maintaining data pipelines and infrastructure.</p><p><strong>What you will do:</strong>  You will design and implement efficient and scalable data pipelines to support various analytics initiatives.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and maintain data pipelines and infrastructure.</li><li>Work with large datasets using big data technologies such as Hadoop, Spark, or Azure Databricks.</li><li>Develop and implement data quality control measures.</li><li>Collaborate with data scientists and engineers to ensure data availability and quality.</li><li>Troubleshoot and resolve issues in data pipelines.</li><li>Automate data processing tasks.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>Experience with big data technologies like Hadoop, Spark, or Azure Databricks.</li><li>Proficiency in SQL and at least one scripting language (Python, Scala).</li><li>Experience with cloud platforms (Azure preferred).</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Comprehensive benefits package including health insurance, paid time off, and retirement plan.</li><li>Opportunities for professional development and training.</li><li>A collaborative and supportive work environment.</li><li>Competitive salary and performance-based bonuses.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves working with large datasets, building and maintaining data pipelines, collaborating with team members, and troubleshooting technical issues.</p>