<p><b>What role you will play in team:</b>  You will work closely with a team to build robust and scalable data pipelines.</p><p><b>What you will do:</b>  Design and implement efficient ETL processes for large datasets.</p><p><b>Key responsibility:</b><ul><li>Design and implement data pipelines using tools like Azure Data Factory or similar technologies.</li><li>Develop and maintain data quality rules and processes.</li><li>Monitor and optimize data pipeline performance.</li><li>Collaborate with data engineers and data scientists.</li><li>Troubleshoot and resolve data pipeline issues.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science or a related field.</li><li>1-2 years of experience in data engineering.</li><li>Proficiency in SQL and scripting languages (Python or similar).</li><li>Experience with cloud-based data warehousing solutions.</li><li>Understanding of data modeling principles.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Comprehensive health insurance.</li><li>Opportunities for professional development and training.</li><li>Flexible work arrangements.</li><li>Collaborative and inclusive work environment.</li></ul></p><p><b>A Day in the Life:</b>  A day would involve developing and testing data pipelines, monitoring their performance, and collaborating with colleagues on data-related challenges.</p>