We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms.<br><br>Responsibilities:<br>• Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration.<br>• Design and maintain scalable data solutions, including data warehouses and data lakes.<br>• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.<br>• Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization.<br>• Leverage Python and SQL to build robust data workflows and automate processes.<br>• Employ orchestration tools like Airflow and dbt to streamline data operations.<br>• Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau.<br>• Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights.<br>• Implement CI/CD pipelines and DevOps practices to enhance data engineering processes.<br>• Ensure data security and compliance across all systems and tools.
Design, build, and maintain scalable test automation frameworks using tools such as Playwright, Appium, Selenium, Cypress, and others. Collaborate with cross-functional teams to define test strategies and ensure comprehensive test coverage. Develop and maintain automated test scripts in Java, JavaScript, and C#. Integrate automated tests into CI/CD pipelines to support continuous delivery. Analyze test results, identify root causes, and drive resolution of issues. Mentor and support entry level engineers, fostering a culture of continuous learning and improvement. Communicate effectively with stakeholders to report progress, risks, and quality metrics. Solid Manual testing skills. Ability to understand and articulate complicated requirements for test case creation.