Jobs at NucleusTeq

The Lead/Senior Recruiter will drive IT hiring practices, manage full-cycle recruitment, and utilize AI tools to source candidates effectively.

As a Data Engineer, you'll optimize data pipelines and models using PySpark, SQL, and GCP. Responsibilities include processing large datasets and designing enterprise-scale data platforms.

The Software Developer oversees quality control, manages project scope, gathers requirements, and develops cloud architecture, while utilizing various programming and project management tools.

We are seeking Data Engineers to migrate dashboards from Hadoop to GCP, ensuring data consistency, accuracy, and collaborating with cross-functional teams.

The Technical Product Manager will manage the entire product lifecycle, lead Agile teams, translate business needs into actionable requirements, and collaborate with cross-functional teams, focusing on data-driven strategies in a B2B SaaS environment.

The Marketing Intern will support product marketing initiatives, manage social media accounts, create content, and assist in analytics and promotions.

The Vice President of Sales will drive growth by developing sales strategies, leading a sales team, and establishing partnerships in enterprise data and cloud services.

The Data Engineer will design optimized data systems, maintain data pipelines, integrate data sources, and automate workflows to support analytics and machine learning initiatives.

Design, develop, and manage data pipelines and ETL workflows using Databricks, PySpark, and SQL. Build frameworks for data ingestion and optimize data architecture for analytics. Collaborate with stakeholders and support data governance and integration activities.

As a Data Engineer, you will design scalable data platforms, lead a skilled engineering team, collaborate on product development, and adopt engineering excellence principles within Agile frameworks.

The Senior GCP Architect will design and implement GCP infrastructure, manage configurations, utilize Terraform for automation, and ensure security and observability of cloud services.

The role involves developing AI agents, utilizing Python and SQL, and leveraging modern data engineering practices and tools. Focus is on prompt engineering and AI workflows.

The Python Developer will focus on coding in Python, systems design, and data modeling, with strong SQL or NoSQL expertise required. Must be proficient in AWS and possess excellent problem-solving and collaboration skills.

Lead multiple projects overseeing requirements to deployment, develop automation tools with Python and Selenium, and process unstructured data for insights. Create dashboards and apply statistical modeling to forecast trends.

The job requires a self-driven Data Engineer skilled in SQL, data modeling, and integration, along with a foundational understanding of Generative AI. Responsibilities include data extraction, transformation, and collaboration with teams.

The Software Engineer will assist in designing and developing applications, support backend services, and collaborate with team members to automate processes and troubleshoot issues.

The Data Scientist will develop high-performance AI/ML systems, manage data pipelines, and integrate AI services into cloud platforms. Requires strong technical skills and innovation.

The GCP & Big Data Engineer will design and maintain scalable data pipelines on Google Cloud, optimize data processing, and ensure data quality.

Design and maintain scalable data pipelines using Google Cloud services, ensure data quality, and collaborate with stakeholders to deliver data solutions.

Design, develop, and maintain high-performance applications utilizing Java and Spring technologies in collaborative, agile environments.