<p><strong>What role you will play in team:</strong> Design, build, and maintain data pipelines to support data analysis and machine learning initiatives.</p><p><strong>What you will do:</strong>  Develop and optimize data pipelines for efficient data ingestion, processing, and storage.</p><p><strong>Key responsibility:</strong><ul><li>Design and develop scalable and efficient data pipelines.</li><li>Implement data ingestion, transformation, and loading (ETL) processes.</li><li>Ensure data quality and consistency across all data sources.</li><li>Monitor and optimize data pipeline performance.</li><li>Collaborate with data scientists and analysts to meet their data needs.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in computer science or a related field.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Proficiency in SQL and programming languages (e.g., Python, Java).</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li><li>Strong problem-solving and debugging 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>A challenging and rewarding work environment.</li><li>Mentorship from senior engineers.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves designing, building, and testing data pipelines, troubleshooting issues, and collaborating with other team members.</p>