<p><strong>Job Summary:</strong></p><p> The Data Engineer will build and optimize data pipelines, ensuring reliable data collection, storage, and access for analytics and machine learning use cases. This role will work closely with analytics and engineering teams to design scalable data architectures.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain ETL/ELT pipelines for structured and unstructured data.</li><li>Integrate data from multiple sources into cloud data warehouses (Snowflake, BigQuery, Redshift).</li><li>Optimize data storage and retrieval for performance and scalability.</li><li>Collaborate with analysts and data scientists to ensure data quality.</li><li>Implement data governance and security best practices.</li></ul><p><br></p>

<p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Data Engineering, or related field.</li><li>Proficiency in SQL and Python.</li><li>Experience with Spark, Airflow, or similar tools.</li><li>Familiarity with cloud data platforms (AWS, Azure, GCP).</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Knowledge of data lake architectures and APIs.</li><li>Experience with CI/CD and containerization.</li><li>Certifications in cloud data engineering.</li></ul><p><br></p>

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