Python Data Engineer

We are seeking an experienced Python Data Engineer proficient in Python, Pandas, AWS, and SQL to join our data engineering team. The ideal candidate will excel in developing robust data pipelines, optimizing workflows, and working on scalable cloud-based data solutions. Key Requirements: - 5.5 to 8 years of hands-on experience in Python programming, with a focus on Pandas for data manipulation. - Strong expertise in AWS cloud services like S3, Lambda, Glue, Redshift, and Athena. - Proficient in SQL, with the ability to query and optimize large datasets. - Good understanding of data warehousing concepts, data modeling, and data integration. - Strong debugging and problem-solving skills. Responsibilities: - Design, develop, and maintain scalable ETL pipelines using Python and Pandas. - Cleanse, transform, and prepare large datasets for analytics and reporting. - Utilize AWS cloud services for data ingestion, storage, and processing. - Write efficient SQL queries to extract, manipulate, and analyze data from various sources. - Collaborate with data scientists, analysts, and engineers to deliver reliable solutions. - Monitor data pipeline performance, troubleshoot issues, and ensure data accuracy. What You Can Expect: - A culture of caring that prioritizes people and fosters an inclusive environment. - Continuous learning and development opportunities to grow personally and professionally. - Engaging work on impactful projects that challenge your problem-solving skills. - Balance and flexibility in work arrangements to help you integrate work and life. - A high-trust organization that values integrity, trust, and ethical practices. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to innovative companies worldwide. Since 2000, we have been driving the digital revolution by creating cutting-edge products and experiences. Join us in transforming businesses and industries through intelligent solutions, platforms, and services.,