Staff Software Engineer

Job Description Zendesk is seeking a Senior Data Engineer to join The Data Platform team. The team is responsible for implementing a globally distributed system that uses powerful cloud technologies that span Amazon Web Services and Snowflake. Our goal is to help 170,000 global businesses truly understand customer interactions at depths never thought possible until now. We’re Looking For As a Staff Data Engineer, you will be responsible for building many key parts of the foundation data services platform. Working closely with your team members to craft, develop and deliver tools that will help our customers, internal engineering teams deliver solutions and high quality software projects on time. Data is at the heart of Zendesk’s business! This is an autonomous role that can have a huge impact across all of the Zendesk product family! What you’ll be doing Publish well written and tested code to production Participate in designing and developing key features and functionality of our data platform Investigate production issues and fine-tune our data pipelines Continually improve data pipelines for high efficiency, throughput and quality of data Build a platform that will be the foundation for our customer facing reporting features, our machine learning initiatives, and internal product analytics Collaborate with team members on researching and brainstorming different solutions for technical challenges we face Solve sophisticated problems with passion and technical leadership. helping to discover solutions to sophisticated problems Develop standard methodologies and mentor others to help make technical decisions on projects What you bring to the role 11 years of software development/data engineering experience with 4 years of hands-on experience of building scalable data platforms and/or reliable data pipelines Experience with working in Snowflake and DBT Java, Python, Scala (proficient in at least one) Developer skills; demonstrating a strong passion to design scalable and fault-tolerant software systems Experience with AWS or related cloud technologies Experience in developing and operating high volume, high availability environments Working understanding of Kubernetes’ infrastructure and security best practices Ability to work optimally in a multifaceted, occasionally interrupt driven environment that includes geographically spread teams and customers Solid working understanding in Data Modeling. Proven track record with cloud and data related technologies. Additional Qualifications: Experience writing ETL jobs to help address various data engineering challenges Strong understanding of Build tools and Deployment tools Familiarity with Kafka, Airflow, Celery, AWS Step functions Tech Stack Our data pipelines are written in Java and Python based software stacks We use many open source technologies, including: Spark, Airflow Our software runs on AWS services like EMR and in Kubernetes, and integrates with AWS services S3, Athena, and Glue for data access. #LI-ML12 Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come to ... (truncated, view full listing at source)