<p><b>What role you will play in team:</b> You will bridge the gap between data engineering and data science, ensuring that data is readily available for analysis and model building.</p><p><b>What you will do:</b> You will design, build, and maintain data pipelines, and ensure data quality and integrity.</p><p><b>Key responsibility:</b><ul><li>Design and implement efficient and scalable data pipelines.</li><li>Develop and maintain data warehousing solutions.</li><li>Ensure data quality and consistency.</li><li>Collaborate with data scientists and engineers to meet project requirements.</li><li>Optimize data processing workflows for performance and efficiency.</li><li>Troubleshoot and resolve data-related issues.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>Proficiency in SQL and at least one scripting language (Python or Bash).</li><li>Experience with cloud-based data warehousing services (e.g., Snowflake, BigQuery).</li><li>Experience with data pipeline tools (e.g., Apache Airflow).</li><li>Strong problem-solving and debugging skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and advancement.</li><li>A dynamic and challenging work environment.</li><li>Work from home flexibility.</li></ul></p><p><b>A Day in the Life:</b> A typical day includes designing, building and maintaining data pipelines, ensuring the smooth flow of data, performing quality checks and addressing any technical issues.</p>