<p><b>What role you will play in team:</b> You'll be working with a team responsible for designing, building and maintaining data pipelines and infrastructure for our financial data. You’ll contribute to big data solutions.</p><p><b>What you will do:</b> Design and build scalable data pipelines, perform data transformation and integration, and work with various data sources.</p><p><b>Key responsibility:</b><ul><li>Design and develop data pipelines using tools like Apache Spark, Kafka, etc.</li><li>Perform data transformation and integration using SQL and other tools.</li><li>Build and maintain data warehouses and data lakes.</li><li>Monitor and optimize data pipelines for performance and scalability.</li><li>Work with various data sources (databases, cloud storage, etc.).</li><li>Ensure data quality and integrity.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science or related field.</li><li>Experience with big data technologies (Spark, Hadoop, Kafka).</li><li>Proficiency in SQL and other data manipulation languages.</li><li>Experience with cloud platforms (AWS or Azure).</li><li>Understanding of data warehousing and data lake concepts.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A collaborative and supportive work environment.</li><li>Comprehensive health insurance and retirement plan.</li><li>Paid time off and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves designing data pipelines, writing code, monitoring system performance, troubleshooting issues, and collaborating with team members.</p>