Design, code, test, and debug data-driven applications in accordance with established coding standards and best practices. Develop supporting data tooling, including data pipelines, APIs and related tools to support those applications, ensuring that the tooling supports performant, scalable and secure solutions. Integrate with various data sources and technologies to ensure the right data is available for the solutions in a timely manner. Collaborate with product managers, designers, and other stakeholders to translate business requirements into technical specifications and architectural designs. Provide input on feasibility and technical approaches for implementing new features and improvements. Participate in code reviews to maintain code quality, ensure consistency, and share knowledge among team members. Offer constructive feedback and suggestions to enhance codebase integrity. Utilize version control systems to manage and track changes to source code. Collaborate effectively within a distributed version control environment. Ensure compatibility and interoperability between different systems and platforms. Work closely with cross-functional teams to integrate data engineering into overall business processes. Develop and maintain documentation for data processes and workflows. Stay updated on emerging data technologies and evaluate their relevance to the organization. Make recommendations for adopting new tools or technologies to enhance data engineering capabilities.