WW is looking for candidates to help change people’s lives. We are a global wellness technology company inspiring millions of people to adopt healthy habits for real life. We do this through engaging digital experiences, face-to-face workshops and sustainable programs that encourage people to move more, shift their mindset and eat healthier while enjoying the foods they love. By drawing on over five decades of experience and expertise in behavioral science, we build communities in order to deliver wellness for all. Who we are At WW, we are re-imagining engineering in and around our data infrastructure, architecture, pipeline, flow and security. We are building a modern data lake fed by batch and streaming pipelines creating incremental value from our data. We are implementing a data catalog, glossary and dictionary solution to make our data search and discoverable, propelling data democratization, enhancing data quality and data security. We are reimagining and replacing old data pipelines with modern architecture and technologies. It’s an exciting time for WW Data Org and Data Engineering is driving the excitement. What you will do -Python/Java programing to implement data engineering solutions -Data Engineering problem solving -Opportunity to work on GCP, AWS cloud technologies Kafka, Metadata Management tool, Data Quality (DQ) tool, Open Source tools, Cloud-Native solution, Dev/Ops and Data Science related work -Work with high volume (100s TB), high velocity (real-time stream), high complexity (heterogeneous) data from hundreds of sources e.g. social media, click stream, e-commerce etc. Who you are -3-4 years hands-on experience in application / data pipeline development with Java and Python programing language(s) -Strong in SQL query, data manipulation language (DML) and data definition language (DDL) including hands-on experience of managing database tables and views -Experienced in designing and implementing end-to-end data pipeline on at least one of top three cloud providers (AWS, Azure, GCP) #LI-Remote At WW, it is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.