Big Data- Google Cloud Platform Lumi- Phoenix, AZ (Onsite work)

Role: Data Engineer with Google Cloud Platform LUMI Platform.

Long term contract

Phoenix, AZ (Onsite work)

Responsibilities:

• Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders, product teams and cross functional technology groups to drive continuous delivery.
• Drive user story analysis and elaboration, design and develop software applications, and test and build automation tools.
• Own all technical aspects of software development (architecture, design, and development of systems) for assigned applications.
• Perform hands-on software development, writing code, API specs, doing proof of concepts, conducting code reviews, and testing in ongoing sprints.
• Drive consistent development practices - tools and common components.
• Develop deep understanding of tie-ins with other systems and platforms within the supported domains.
• Work with technical product managers contributing to blueprints and assisting with annual planning of feature sets.
• Identify opportunities for adopting new technology to solve existing needs and predicting future challenges.
• Effectively communicate to internal and external business partners on solution design.

Functional Skills:

• Strong analytical & strategic thinking skills.
• Ability to interpret technical / business objectives and challenges.
• Porting/Software Configuration.
• Agile Methodologies.
• Software development/testing.
• Object oriented analysis and design across multiple platforms.
• Designing High Availability applications.

Preferred:

• Product Engineering Knowledge.

Minimum Qualifications:

• Bachelor's Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred.

Preferred Qualifications:

• 8+ years of commercial software development experience.
• Proficient in developing, hosting solutions on Google Cloud Platform - Google Cloud Storage and Big Query.
• Hands-on experience on Big Data platforms (Scala/Spark/Hive SQL) and Big Data Lake.
• Experience and proficiency in ETL (Extract, Transform, Load) processes and tools and data modelling in Big Data platform.
• Proficiency in Secure File Transfer (SFT) operations and its utilization in data management.
• Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
• Experience with automated release management using Maven, Salt, Git, Jenkins.
• Experience in Architecture design and modeling; should possess strong skills in designing and modeling complex systems and architectures.
• Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux.
• Good understanding of data structures, algorithms, and design patterns.
• Great written communication and documentation abilities.
• Looks proactively beyond the obvious for continuous improvement opportunities.
• Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
• Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

Secondary Skills:

• Design and develop end-to-end business intelligence solutions using the Power BI stack.
• Define and implement robust data models, metrics, and KPIs to support reporting and advanced analytics.
• Design, develop, and optimize scalable multidimensional and tabular data models to enable interactive analytics and reporting.
• Demonstrate strong proficiency in DAX, Power Query, and SQL, along with expertise in designing intuitive and visually compelling Power BI dashboards and reports to drive data-driven decision-making.
• Troubleshoot, debug, and optimize BI solutions (reports, cubes, and semantic models) to ensure high performance, scalability, and reliability.
• Develop and maintain BI frameworks, semantic layers, and metadata repositories to support data governance, standardization, and administration.