<p><strong>What role you will play in team:</strong> Build and maintain data pipelines and infrastructure to support data analysis and machine learning initiatives.</p><p><strong>What you will do:</strong> Design, develop, and implement data pipelines using various technologies, ensuring data quality and scalability.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and maintain data pipelines using tools like Apache Kafka, Spark, and Hadoop.</li><li>Develop and implement data quality checks and monitoring systems.</li><li>Work with databases (SQL and NoSQL).</li><li>Collaborate with data scientists and other engineers.</li><li>Troubleshoot and resolve data-related issues.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer Science, Engineering, or related field.</li><li>Experience with big data technologies (Hadoop, Spark, Kafka).</li><li>Proficiency in SQL and at least one scripting language (Python or Scala).</li><li>Experience with cloud platforms (AWS, Azure, or GCP).</li><li>Strong problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and advancement.</li><li>Collaborative and supportive team environment.</li><li>Work-life balance initiatives.</li></ul></p><p><strong>A Day in the Life:</strong> You will spend your time designing, developing, and testing data pipelines, working with different technologies to ensure data flows efficiently and reliably.</p>