Sr. Software Engineer, Hive
3 days ago
Sr. Software Engineer, Hive – Cloudera Location: Toronto, Ontario, Canada Salary: CA$104,550.00–CA$135,300.00 Employment type: Full‑time Business Area Engineering Seniority Level Mid‑Senior Level Remote Option Remote Role Job Description At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we’re the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Responsibilities and Scope Work on large‑scale, distributed systems to help drive Hive innovation and build additional components around it to enhance the Hive ecosystem. Have an exciting opportunity to work on products that handle complex SQL query workloads on public or private clouds as part of Cloudera Data Platform (CDP). Design and develop features for parallel and distributed query engines to help drive innovation in CDP. Focus on query optimization, performance and scalability of SQL queries. Write design documentation for key features and capabilities. Improve code quality through writing tests, automation, and code reviews. Understand the customer’s workload and provide effective technical solutions. Qualifications Bachelor’s or Master’s degree in Computer Science or equivalent, and 6 years of experience. Experience with query optimization using tools like Apache Calcite. Clean coding habits, attention to detail, and a focus on quality. Hands‑on programmer with strong data structures and algorithms skills. Java experience is desired. Good understanding of database internals, query processing and SQL query optimization. Strong oral and written communication skills. Ability to work effectively on cross‑functional projects. Additional Preferred Experience Experience with contributing to any of the open‑source Apache projects like Hive, Impala, Calcite or an RDBMS. Experience with the Hadoop ecosystem and file formats like Parquet, ORC. Experience with public cloud infrastructures such as Microsoft Azure, Amazon Web Services, and Google Cloud Platform. Recognized contributions to open source projects. Why this role matters This is your opportunity to build cloud‑native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting‑edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data. What you can expect from us Generous PTO policy Support work‑life balance with Unplugged Days Flexible WFH policy Mental & Physical Wellness programs Phone and Internet reimbursement program Access to continued career development Comprehensive benefits and competitive packages Paid volunteer time Employee Resource Groups EEO/VEVRAA #J-18808-Ljbffr
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