• Design, develop, and maintain data pipelines, infrastructure, and systems to support data products and solutions using technologies such as AWS, Python, Databricks, Spark, and SQL databases like PostgreSQL • Work with cross-functional teams to translate business problems into technical solutions and provide technical guidance and mentorship to junior data engineers • Develop and implement data engineering strategies and best practices that align with business objectives and customer needs • Monitor and troubleshoot data pipelines and systems to ensure data quality, integrity, and availability • Conduct research on industry trends and best practices to improve data engineering capabilities and evaluate new data technologies and tools • Build and maintain data lakes to support business intelligence needs • Manage the software development life cycle and DevOps aspects of the code • Collaborate with data scientists and analysts to understand their data requirements and provide them with optimal data solutions • Create new data validation methods and data analysis tools