Provide thought leadership, engineering expertise, and direction to engineering teams.
Collaborate with business stakeholders, product teams, and cross\-functional technology groups to drive continuous delivery.
Drive user story analysis and elaboration, and design, develop, test, and build automation tools for software applications.
Own the technical aspects of software development, including architecture, design, and development of assigned applications.
Perform hands\-on software development, including writing code and API specifications, creating proofs of concept, conducting code reviews, and testing during ongoing sprints.
Drive consistent development practices by promoting shared tools and common components.
Develop a deep understanding of integrations with other systems and platforms within supported domains.
Work with technical product managers to contribute to blueprints and support annual feature\-set planning.
Identify opportunities to adopt new technologies that address current needs and anticipate future challenges.
Communicate solution designs effectively to internal and external business partners.
Functional Skills
Strong analytical and strategic thinking skills.
Ability to interpret technical and business objectives and challenges.
Porting and software configuration.
Agile methodologies.
Software development and testing.
Object\-oriented analysis and design across multiple platforms.
Designing high\-availability applications.
Product engineering knowledge.
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Science Engineering, or a related field is required.
An advanced degree is preferred.
Preferred Qualifications
4\+ years of commercial software development experience.
Proficiency in developing and hosting solutions on Google Cloud Platform, including Google Cloud Storage and BigQuery.
Hands\-on experience with Big Data platforms such as Scala, Spark, Hive SQL, and Big Data Lake.
Experience and proficiency in ETL processes, ETL tools, and data modeling on Big Data platforms.
Proficiency in Secure File Transfer operations and their use in data management.
Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of CI/CD pipeline tools.
Experience with automated release management using Maven, Salt, Git, and Jenkins.
Strong architecture design and modeling skills for complex systems and architectures.
Good understanding of web technologies such as HTTP and Apache, and familiarity with Unix/Linux.
Good understanding of data structures, algorithms, and design patterns.
Strong written communication and documentation skills.
Proactively looks beyond the obvious to identify continuous improvement opportunities.
Provide thought leadership, engineering expertise, and direction to engineering teams.
Collaborate with business stakeholders, product teams, and cross\-functional technology groups to drive continuous delivery.
Drive user story analysis and elaboration, and design, develop, test, and build automation tools for software applications.
Own the technical aspects of software development, including architecture, design, and development of assigned applications.
Perform hands\-on software development, including writing code and API specifications, creating proofs of concept, conducting code reviews, and testing during ongoing sprints.
Drive consistent development practices by promoting shared tools and common components.
Develop a deep understanding of integrations with other systems and platforms within supported domains.
Work with technical product managers to contribute to blueprints and support annual feature\-set planning.
Identify opportunities to adopt new technologies that address current needs and anticipate future challenges.
Communicate solution designs effectively to internal and external business partners.
*Skill Requirements**
GCP; Big Data; Scala; Spark; Hive; ETL \- Big Data / Data Warehousing; CI/CD; Maven; Jenkins; Git (GitHub, GitLab, BitBucket, SVN); SQL; RDBMS; PowerBI
*Other Requirements**
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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 for interactive analytics and reporting.
Demonstrate strong proficiency in DAX, Power Query, and SQL.
Design intuitive and visually compelling Power BI dashboards and reports to support data\-driven decision\-making.
Troubleshoot, debug, and optimize BI solutions, including 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.