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The Solutions Engineer will build relationships with clients, applying technical expertise to demonstrate the Databricks Lakehouse platform. Responsibilities include authoring reference architectures and aiding in customer adoption of big data analytics solutions.
The Solutions Engineer will build relationships with clients, providing technical solutions using the Databricks platform. Responsibilities include demonstrating expertise in big data analytics, developing reference architectures, and leading workshops to promote community engagement.
As a Staff Software Engineer focused on backend at Databricks, you will design, implement, and operate micro-services for the Databricks platform, collaborating with product management and your team. Your work will include writing software in Scala/Java, building data pipelines using Apache Spark and Kafka, and integrating with third-party applications and cloud APIs.
As a Staff Software Engineer in the Runtime Observability team at Databricks, you will develop observability solutions to monitor the health and performance of products and infrastructure. You will collaborate with teams to identify metrics, build tools for logging and metrics aggregation, and scale observability solutions to support high query volumes.
As a Senior Software Engineer on the Runtime team at Databricks, you'll develop distributed data storage and processing systems, improve relational query performance, and support diverse workloads. Responsibilities include working on projects like Apache Spark, Data Plane Storage, and Delta Lake, while contributing towards a multi-year vision and delivering customer value.
As a Software Engineer at Databricks, you will build the next generation of distributed data storage and processing systems, improving performance in relational query capabilities and offering programming abstractions for various workloads. Key projects include developing Apache Spark, Delta Lake, and optimizing query execution.
As a Senior Software Engineer on the Runtime team at Databricks, you will build the next generation of distributed data storage and processing systems, focusing on enhancing performance and efficiency in various data-related tasks. Key projects include Apache Spark and Delta Lake, aimed at advancing big data operations.
As a Staff Software Engineer on the Runtime team at Databricks, you will develop advanced distributed data storage and processing systems, enhancing performance beyond traditional SQL engines and supporting various data workloads. Your work will include projects like Apache Spark and Delta Lake, focusing on scalable systems, performance optimization, and data pipeline management.
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As a Senior Technical Solutions Engineer, you will troubleshoot and resolve complex issues related to the Databricks platform, support customers with best practices, improve performance in specific environments, and coordinate with engineering teams. You will also contribute to documentation and participate in on-call rotations.
As a Staff Software Engineer focusing on backend development at Databricks, you will design, implement, test, and operate micro-services. The role involves working with Scala or Java, building data pipelines, integrating with third-party applications, and interacting with cloud APIs.
As a Senior Software Engineer focused on backend, you will develop infrastructure and products at scale for the Databricks platform. Projects include building a serverless platform, core cloud technologies, enhancing partner integrations, and improving developer experiences across various teams.
As a Senior Software Engineer at Databricks, you'll develop robust, scalable full-stack applications, focusing on user experience and product lifecycle management. Responsibilities include creating data pipelines, dashboards, and collaborative data projects while ensuring effective data management and visualization tools are implemented.
As a Staff Software Engineer focusing on backend development, you will prioritize, design, implement, test, and operate micro-services. This requires collaboration with product management, writing software in Scala and Java, building data pipelines, integrating third-party applications, and interacting with various cloud APIs.
As a Staff Software Engineer, you will prioritize, design, implement, and operate backend micro-services for the Databricks platform, writing software in Scala/Java, building data pipelines, and integrating with cloud APIs.
As a Solutions Architect at Databricks, you'll lead customer adoption of the Unified Analytics Platform, consulting on big data architecture and implementing customer projects in data engineering and machine learning. Your role involves providing technical guidance, building reference architectures, and enhancing customer relationships while promoting open-source projects and driving cross-functional collaboration.
As a Senior Full Stack Software Engineer at Databricks, you will collaborate with product management to create user-friendly data processing features, develop complex data pipelines, and ensure a great SQL-centric dashboarding experience. You will be involved in creating scalable systems and enhancing data project collaboration.
As a Senior Software Engineer - Backend at Databricks, you will develop scalable infrastructure and services on the Databricks platform, tackling challenges in resource management, distributed systems, and SaaS architecture. Your work will enhance the processing of machine learning workloads across cloud environments.
As a Senior Software Engineer on the Runtime team at Databricks, you will develop distributed data storage and processing systems, focusing on improving performance and providing support for diverse workloads like ETL and data science. You will work on projects involving Apache Spark, Delta Lake, and performance optimization.
The Senior Software Engineer will design and implement scalable backend systems and frameworks. Responsibilities include evaluating requirements, leading cross-team discussions, developing monitoring tools, and mentoring junior engineers. The engineer will apply programming concepts and work with cloud services.
The Senior Cloud Site Reliability Engineer will be responsible for setting up AWS infrastructure, containerizing applications, writing Infrastructure as Code (IaC) using Terraform, and creating deployment pipelines. The role requires expertise in Kubernetes, AWS cloud platforms, and a solid understanding of various infrastructure technologies.
As a Data Solution Architect, you'll design and deliver advanced data solutions while leading multi-skilled agile teams. Responsibilities include collaborating with architects to create robust data solutions, mentoring staff, managing timelines, and contributing to the data community.
The Staff Software Engineer will lead the technical direction and delivery of backend solutions for an enterprise platform. Responsibilities include designing high-impact projects, collaborating with teams to enhance products, and mentoring engineers while advocating for best practices.
The Data and AI Architect will design and implement data-driven solutions and AI models, focusing on the Salesforce platform. Responsibilities include developing data architectures, leading machine learning projects, enforcing data governance, collaborating with cross-functional teams, and mentoring staff, while ensuring compliance with data regulations.
The Full Stack DevSecOps Engineer at Zillion Technologies will focus on developing secure applications in cloud environments while leveraging AWS and CI/CD practices. Responsibilities include working on both front-end and back-end projects, contributing to large-scale enterprise applications, and utilizing a variety of technologies and frameworks such as Java, Spring Boot, and JavaScript frameworks.
Design real-time big data processing, storage, and analytics engine. Lead technical decisions, design ETL pipelines, and stay current on industry trends. Require 5-6+ years of industry experience in software development with proficiency in distributed stream processing frameworks and query engines.
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