Staff Data Engineer

Job description

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a [Great Place to Work](https://www.bazaarvoice.com/?page_id=32344&preview=true/#great-place-to-work) in the [US](https://www.bazaarvoice.com/blog/great-place-to-work-bazaarvoice/) , [Australia](https://www.bazaarvoice.com/blog/bazaarvoice-great-place-to-work-australia/?utm_campaign=voicestorm&utm_medium=social&utm_source=None&utm_content=fb87ed16-b1c4-44cf-b3d2-375d64f884a7), [India](https://www.bazaarvoice.com/blog/bazaarvoice-india-is-officially-a-great-place-to-work/), Lithuania, France, Germany and the [UK](https://www.bazaarvoice.com/blog/great-place-to-work-uk/)! **Who we want:** Are you ready to combine your talent for crafting solid data systems and enthusiasm for cutting-edge technology to harness the power of data at Bazaarvoice? We’re looking for a strong data engineer who thrives on building large-scale, robust, distributed data systems and pipelines, who understands the importance of good software engineering practices to get it done. If you’re excited about shaping the future of data at Bazaarvoice, come join us. **How you will make an impact:** As a key member of the Insights team, you'll be tasked with designing, building, and supporting large-scale, distributed data systems that drive our organization's data infrastructure forward, and power our products and services. Your responsibilities will include developing data pipelines, optimizing data storage and retrieval processes, and ensuring the reliability and scalability of our data architecture. You'll collaborate closely with cross-functional teams to understand data requirements, implement solutions, and troubleshoot issues as they arise. You'll also play a pivotal role in advocating for and implementing software engineering best practices to ensure the efficiency, maintainability, and robustness of our data systems. This role offers an exciting opportunity to work on cutting-edge technology and contribute to shaping the future of data-driven decision making within our organization. ### Who you are: - BSc in Computer Science or related discipline. - 7+ years experience designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. - Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. - Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). - Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. - Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. - Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. - Strong technical leadership, problem solving skills and analytical thinking. - Excellent communication and collaboration skills and the ability to work effectively with cross-functional teams. - Passion for staying up to date with emerging data engineering technologies and trends