<p><b>What role you will play in team:</b> Contribute to the design and implementation of data pipelines and ETL processes. Work with large datasets and ensure data quality and integrity.</p><p><b>What you will do:</b> Develop and maintain data pipelines using various tools and technologies.  Collaborate with other data engineers to optimize data processing workflows.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and implement data pipelines using tools like Apache Kafka, Spark, and Hadoop.</li><li>Develop and maintain ETL processes to load data into data warehouses and data lakes.</li><li>Ensure data quality and integrity through data validation and cleansing techniques.</li><li>Collaborate with other data engineers to optimize data processing workflows.</li><li>Troubleshoot and debug data pipeline issues.</li><li>Develop and maintain data documentation.</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 NoSQL databases.</li><li>Experience with data warehousing and data lake concepts.</li><li>Understanding of data modeling and ETL processes.</li><li>Familiarity with cloud-based data platforms (AWS, Azure, or GCP).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>Health insurance, paid time off, and other perks.</li><li>Learning and development opportunities</li></ul></p><p><b>A Day in the Life:</b> A typical day includes designing and building data pipelines, working with large datasets, and collaborating with other engineers to solve data-related problems.</p>