Data Engineer

Company Description

NucleusTeq is a global software services, solutions, and products company based in Phoenix, Arizona. Specializing in Big Data, Analytics, Cloud Computing, Blockchain, Enterprise Automation, and Mobility, we empower businesses through digital innovation. Our diverse portfolio of Fortune 1000 clients and global partners showcases our ability to deliver cutting-edge solutions that drive business success.

Role Description

This is a full-time on-site Data Engineer role located in Phoenix, AZ at NucleusTeq. The Data Engineer will be responsible for tasks such as data modeling, ETL processes, data warehousing, and data analytics to support business initiatives and drive data-driven decisions.

• Design & Develop: Build and maintain scalable data platform frameworks leveraging Big Data technologies (Spark, Hadoop, Kafka, Hive, etc.) and GCP services (BigQuery, Dataflow, Pub/Sub, etc.).
• Data Pipeline Development: Develop, optimize, and manage batch and real-time data pipelines to support business intelligence, analytics, and AI/ML workloads.
• Java Development: Utilize Java to build efficient, high-performance data processing applications and frameworks.
• Cloud Architecture: Design and implement cloud-native data solutions on GCP, ensuring reliability, security, and cost efficiency.
• ETL & Data Integration: Work with structured and unstructured data sources, integrating data from multiple systems into a unified platform.
• Performance Tuning: Optimize data processing performance by fine-tuning Spark jobs, SQL queries, and distributed computing environments.
• Collaboration: Work closely with data scientists, analysts, and software engineers to deliver high-quality data solutions.
• Automation & Monitoring: Implement CI/CD pipelines for data workflows and set up monitoring solutions to track system health and performance.

• Strong proficiency in Java for data engineering and backend development.
• Hands-on experience with Big Data technologies (Hadoop, Spark, Kafka, Hive, HBase, etc.).
• Expertise in GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer (Airflow), Dataproc, etc.
• Experience in developing data platform frameworks to support scalable and reusable data solutions.
• SQL & NoSQL database experience (e.g., BigQuery, PostgreSQL, Cassandra, MongoDB).
• Knowledge of ETL/ELT processes and data modeling concepts.
• Experience with CI/CD tools (Git, Jenkins, Terraform) and infrastructure as code (IaC).
• Understanding of distributed computing principles and high-performance data processing.
• Strong problem-solving skills and ability to work in a fast-paced, agile environment.