<ul><li>Design, develop, and maintain scalable and efficient data pipelines to process large volumes of data.</li><li>Implement data extraction, transformation, and loading (ETL) processes using tools and programming languages such as Python, SQL, Apache Spark, or similar.</li><li>Integrate data from various sources, including databases, APIs, and third-party services.</li><li>Develop and maintain data architectures, including data lakes, data warehouses, and data marts.</li><li>Implement data validation and quality checks to ensure the accuracy and reliability of data.</li><li>Develop and enforce data governance policies and best practices.</li><li>Work closely with data scientists, analysts, and other stakeholders to understand data requirements and support their data needs.</li><li>Provide technical guidance and support to team members on data-related issues.</li></ul>

Data Engineer