Senior Data Engineer

6 Days ago • 5 Years +

About the job

Summary_{By Outscal}

Senior Data Engineer needed to design, build, and support large-scale data systems. 5+ years experience in designing robust, scalable data systems using open source and cloud technologies is essential. Expertise in data orchestration tools, big data storage and processing technologies, and event-driven architectures is required.

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.

What you’ll be doing

As a key member of our 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 be a champion of advocating 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.
5+ 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 one or more big data storage and processing technologies: e.g. DBT, Spark (PySpark/Spark SQL), SQL, Athena/Trino.
Knowledge of event-driven architectures and streaming technologies.
Experience with public cloud environments: e.g. AWS, GCP, Azure.
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.

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