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Provide senior technical leadership through architecture decisions, design reviews, and code reviews, ensuring scalability, reliability, security, and maintainability. Manage, mentor, and grow a distributed team of software and quality engineers, fostering a culture of ownership, accountability, and
We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work.
We’re looking to bring on team members who are experienced in state-of-the-art development techniques and new evolving programming languages used in modern tech stacks and who thrive on innovation and rejecting incremental gains in favor of identifying bold paths that can change the nature of mana
As part of this opportunity, the role includes an initial structured training and ramp-up period focused on modern Data Engineering tools and practices, including technologies such as Databricks, Snowflake, and other key components of the data ecosystem. This is a unique opportunity for engineers wh
To enhance our data foundation and maximize the value derived from our data and machine learning models, we are significantly expanding our Data Engineering efforts in these crucial areas. We own the overall strategy for data quality, identifying critical data and its provenance, measuring the effec
We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. The current priority for this team is
Understanding of AGILE software development methodologies and use of standard software development tool suites. At least 5 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e. As a Software Engineer, you will be responsible for designing, developing, and implementing
Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores. Promote and protect the integrity of data through validation, versioning, data provenance, and governance. Experience wi
Five or more years of experience leading software engineering, data engineering, data analytics, or cross-functional technology teams. You will also coach and develop engineers and analysts, partner with product and business stakeholders, and turn data strategy into practical roadmaps that deliver m
Experience in writing clean code that performs well at scale using languages such as Python, Java etc. Understanding of data partitioning and sharding techniques. Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies.