NucleusTeq
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The Platform Engineer role requires expertise in Java and Golang, with a strong foundation in cloud services like AWS. Familiarity with Python is a bonus. The engineer will work on developing and maintaining the platform infrastructure.
The Big Data Tester will build test scenarios and acceptance tests, set up and maintain test automation frameworks, and perform regression and performance testing. Responsibilities include data validation, reporting, and handling technical communications with stakeholders, as well as collaborating with developers to resolve application issues.
The Big Data PM will lead product management efforts for data-driven solutions, manage the product backlog, and collaborate with technical teams. Responsibilities include defining product vision, overseeing data solutions, tracking performance, and delivering updates to stakeholders. Strong expertise in AWS, Python, Snowflake, and data engineering tools is required, along with experience in agile methodologies and user-centric product development.
The Big Data Developer will design and manage large-scale enterprise big data platforms using tools like Spark, Python, and SQL. This role requires strong experience in data engineering and business intelligence delivery, and the ability to work with large datasets and collaborate in an agile team environment.
The Big Data Developer is responsible for designing and implementing large-scale big data platforms, leveraging technologies such as PySpark and GCP. This role involves processing large data sets, conducting data analysis, and working within an agile team to deliver business intelligence solutions.
The Graphic Designer Intern will enhance global brand identity by creating marketing and sales collateral, campaign assets, and social media content. Responsibilities include designing visuals, collaborating with the marketing team, managing projects, and ensuring quality across all materials.
The Senior Product Marketing Manager at NuoData will define messaging, execute go-to-market strategies, drive demand generation campaigns, create marketing content, analyze market insights, collaborate with sales, and optimize marketing performance.
The Infra Engineer will handle infrastructure design, implementation, and maintenance tasks, utilizing a range of technologies including Kafka, Docker, and CI/CD practices. They will also develop command line tools and monitor distributed systems.
Looking for HR interns to assist with HR operations activities. This is a paid internship lasting 6 months, with potential for permanent employment based on performance and job availability.
The Data Engineer at NucleusTeq is responsible for data engineering, modeling, warehousing, and analytics, including building a config-driven framework using Python and Spark. The role requires problem-solving, analytical skills, and collaboration.
As an Onboarding Specialist, you will guide new businesses through the onboarding process onto the Fyndr platform, create tailored marketing campaigns, collaborate on content creation, provide platform training, monitor campaign performance, gather feedback, and address onboarding challenges to enhance client experience.
The Operations Lead at NucleusTeq is responsible for managing daily operations of the Fyndr platform, ensuring efficient case resolution, onboarding of new businesses, and maintaining operational processes using Salesforce Flows and coding. The role includes collaboration with sales and marketing teams, performance monitoring, and comprehensive documentation of operations.
The Junior Graphic Designer will create marketing materials and digital assets, maintain brand identity, and produce videos. They will collaborate with the marketing team and manage projects while ensuring quality and alignment with brand standards.
The Java Engineer will focus on backend development with a strong emphasis on Java and the Spring Boot stack. Responsibilities include designing and implementing Microservices and Multi Tiered Distributed Architecture, managing databases, and ensuring secure applications using various authentication protocols. Experience with DevOps tools and public cloud services is required.
The Software Developer will oversee quality control processes, communicate with project stakeholders, coordinate with clients for requirements, create technology roadmaps, manage the transition to cloud infrastructure, develop design documents, optimize software functionality, and implement data integration strategies.
The DataOps Engineer will build, automate, and optimize scalable data pipelines, ensuring data quality and governance while collaborating with cross-functional teams. Responsibilities include establishing CI/CD pipelines, real-time data processing, and enhancing operational efficiency within cloud ecosystems like Azure and AWS.
The MLOps Engineer will design and manage scalable Machine Learning workflows in production, focusing on automating deployment, monitoring, and governance within Azure and AWS. Collaboration with data scientists and engineers is essential for creating a robust ML lifecycle management system.
The Data Engineer will design and build data models, develop data ingestion systems, implement storage solutions, ensure data accuracy, and collaborate with cross-functional teams to resolve data-related issues using AWS and various tools such as Python and Airflow.
The Data Engineer will design and build data models, develop data ingestion and processing systems, and implement storage solutions while ensuring data consistency and working with cross-functional teams to resolve data-related issues. Proficiency in Python and experience with Azure and Snowflake are essential.