Senior Software Engineer - Data Engineering
Australia - Melbourne - Office
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Zendesk
Discover AI-powered, award-winning customer service software trusted by 200k customers. Make customers happy via text, mobile, phone, email, live chat, social media.Job Description
Data is at the heart of Zendesk’s business. This is an autonomous role that can have a significant impact across all of the Zendesk product family. Come join an amazing team building the Zendesk Data Platform (ZDP), the data solution that powers our business.
We’re looking for a smart, adaptable Senior Software Engineer to help build key components of the foundation data services including next-generation reporting and analytics. You’ll work at the intersection of software engineering and data infrastructure and designing and maintaining scalable systems. You will work closely with your team members to craft, develop, and deliver reporting products for our customers and ensure high-quality software projects are completed on time.
Please note: We are looking for Software Engineers with a strong background in data engineering.
What you get to do every day:
Design, build, and collaborate with a team of engineers who care about the product and code to provide simple, sophisticated solutions to complex technical problems.
Use sound methodologies at every stage of the development cycle including technical design, pair programming, peer code review, documenting, testing, and continuous integration.
Own the reliability, scalability, and performance of systems deployed on AWS
Share the responsibility of maintaining the systems built by the team.
Design, build, and maintain data pipelines that extract, transform, and load data from various sources into a data warehouse (like Snowflake).
Utilize DBT for data modeling, transformation, and testing, ensuring data quality and efficient data flow.
Work on software that runs on AWS services like Kubernetes, integrating with AWS services such as S3, Athena, and Glue for data access. Work with tools such as Snowflake, Docker/Kubernetes, Airflow, Astronomer.
Build a platform that will serve as the foundation for our customer-facing reporting features, machine learning initiatives, and internal product analytics.
What we’d love you to have:
Proficiency in Java, Python, or GoLang.
7+ years of software development/data engineering experience with at least 2+ years of hands-on experience building scalable systems.
Proficiency in writing complex SQL queries for data manipulation and transformation.
Good understanding of DBT concepts, including models, sources, tests, and documentation.
Experience designing and implementing scalable and efficient data models for various business needs.
Experience with containerization (Docker, Kubernetes)
Experience with Snowflake.
A desire to build clean, efficient, and maintainable code.
Strong developer skills, demonstrating a passion for designing scalable and fault-tolerant software systems.
Excellent problem-solving skills with the ability to think on your feet and lead discussions.
Someone who is self-motivated, has strong collaboration skills and enjoys working with others to get the desired outcome
Someone who is willing to learn, ask for help, pair, and acquire new skills.
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 together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Athena AWS CX Data pipelines Data quality Data warehouse dbt Docker Engineering Golang Java Kubernetes Machine Learning Pipelines Python Snowflake SQL Testing
Perks/benefits: Career development
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