Business Unit:Cubic Transportation SystemsCompany Details:When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people’s lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global issues through innovation and service to our customers and partners. We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD). Explore more on Cubic.com.Job Details:We are looking for an experiencedSenior Data Engineer with a strong technical foundation inMicrosoft Azure services. This role will be critical in building, managing, and optimizing data pipelines to support data-driven decisions across multiple projects. You will work closely with cross-functional teams, contributing to the end-to-end data flow architecture, from data ingestion to storage and processing. Key Responsibilities:
Data Pipeline Development: Design, develop, and maintain scalable data pipelines usingAzure Data Factory (ADF) to support various data integration needs across multiple projects.
Azure Services Implementation: Set up and manage Azure resources, includingLogic Apps andStorage Accounts, to ensure data accessibility and security.
Data Management and Optimization: Design and optimize SQL databases, write complex queries, and manage data stored in Azure environments to support data analytics and reporting.
Code Interpretation and Integration: Understand and potentially integrateScala orPython scripts into workflows. While deep expertise in these languages is not required, the ability to read and interpret scripts is essential.
Documentation and Reporting: Create and maintain documentation for data flows, processes, and best practices to ensure clear communication and operational continuity.
Collaborative Problem-Solving: Work closely with other team members and stakeholders to troubleshoot issues, optimize data solutions, and drive innovative ideas that enhance efficiency.
Required Technical Skills:
Azure Proficiency: Strong experience withAzure Data Factory (ADF),Logic Apps, andStorage Accounts setup and management.
SQL Expertise: Proficient in SQL for data querying, management, and optimization.
Understanding of Scripting Languages: Basic understanding ofScala orPython to effectively interpret and manage pre-existing scripts within the pipeline.
Desired Soft Skills:
Effective Communication: Ability to convey complex technical concepts clearly and concisely to non-technical stakeholders and team members.
Independent Work Ethic: Proven ability to work autonomously with minimal supervision, making proactive decisions to support the team’s objectives.
Problem Solving: A collaborative approach to problem-solving, with a focus on delivering high-quality, efficient solutions.
Preferred Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
5+ years of experience in data engineering, with hands-on experience in Azure-based solutions.
Prior experience in a fast-paced, multi-project environment.
