Senior Software Development Engineer

In this role, you will plan, design, build, and maintain scalable data pipelines using Databricks, leverage real-time data processing with Apache Storm, orchestrate workflows with Astronomer. The Commerce Data Platform team is focused on using the power of data to deliver optimized experiences through personalization. As a member of the Data Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and entrepreneurial personality What you will do Build fault tolerant, scalable, quality data pipelines using multiple cloud- based tools. Work independently to design and delivering medium to complex functionality. Collaborate and Provide guidance to team members to build a scalable and high-performance solution with low operational overhead. Work with multi-functional team members to ensure a superb end-to-end user experience for our customers. Fast prototyping of ideas and concepts and researching the latest industry trends. Build features that make our products easier to use. We're constantly experimenting with how to improve our products to benefit our users, and you'll help track metrics and formulate ideas to improve and increase adoption. Perform analysis and experimentation for the data flowing through different systems/services Build a data consistency and validation feature in delivering high-quality data. What you will need to success Bachelor’s degree in computer science or equivalent. Master’s degree or equivalent experience is preferred. Minimum of 5 years of experience in software engineering, Motivated self-starter with the ability to learn and adapt quickly. Track record of delivering software releases or projects on time with high quality. Proficiency in Python for scripting, data processing, and pipeline development Strong SQL experience for querying, cleansing, integrating, and summarizing complex data is essential Experience with Databricks and Python is desirable Proven experience of building, testing, evaluating, and improving revenue-generating data science models Knowledge of propensity modeling techniques and other modeling techniques would be beneficial Proven experience translating complex analytics into understandable insights for senior collaborators is essential Strong problem-solving skills and experience in a fast-paced business environment with changing requirements About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnici ... (truncated, view full listing at source)