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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MMOTA Automation & Analytics Engineer - **Company:** KPIT Technologies Inc - **Location:** Sunrise, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, JIRA, Big Data, BigQuery, Software Bug Management, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Software Quality, Code Review, Databases, Computer Engineering, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Visualization, Database Development, Software Debugging, DevOps, Github, Python (Programming Language), Performance Tuning, Scrum Methodology, Systems Development Life Cycle, Power BI, Cloud Services, Software Deployment, Software Engineering, Verification and Validation (Software), SQL Databases, Qliksense, Scripting, Feature Engineering, Spring Cloud, Software Troubleshooting, Backend, Git, Information Technology, Integration Frameworks, Tools for Reporting, Automotive Software, Restful APIs, Data Pipelines, Microservices - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e5f370160e1fb6f3 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Software Engineering, or a related technical discipline. * 5+ years of experience in software development, automation engineering, backend development, data engineering, or related technical roles. * Strong hands-on expertise in Python development, automation frameworks, scripting, backend services, microservices, and REST API development. * Experience designing, developing, maintaining, and supporting enterprise automation solutions and reusable software components. * Mandatory hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Cloud SQL, Cloud Storage, data integration technologies, and cloud-native application deployment. * Python and GCP are the primary skills for this role. Candidates must demonstrate strong hands-on development experience in both areas. * Strong database development, administration, troubleshooting, and performance optimization experience across SQL and cloud based databases. * Experience designing and supporting data pipelines, ETL processes, and reporting data models. * Experience with Qlik Sense is desirable and will be considered an added advantage. * Experience with Microsoft Power BI is desirable and will be considered an added advantage, including dashboard development, data modeling, DAX, report optimization, and data visualization best practices. * Experience planning and executing BI migration initiatives, preferably Qlik Sense to Power BI. * Strong understanding of software development lifecycle (SDLC), Agile methodologies, DevOps practices, and CI/CD pipelines. * Experience with Git, GitHub, code reviews, and pull request approval processes. * Strong debugging, root cause analysis, troubleshooting, and problem-solving skills. * Experience gathering and translating business requirements into technical solutions. * Ability to analyze large datasets and generate meaningful business and engineering insights. * Strong written and verbal communication skills with the ability to collaborate effectively across global cross-functional teams. * Experience developing technical documentation, user guides, integration documentation, and support materials. * Experience with Jira and other project tracking and defect management tools. * Experience in automotive software development, connected vehicle technologies, OTA systems, software validation, or digital engineering environments is preferred. ## Description * Develop and enhance Python-based automation tools, frameworks, and scripts to improve software quality, operational efficiency, and testing effectiveness. * Design, develop, and maintain Python-based applications, automation frameworks, cloud services, and REST APIs supporting automation and integration platforms. * Analyze testing, operational, and business metrics and generate reports to monitor software quality, automation performance, and engineering productivity. * Collaborate with cross-functional teams to gather business and technical requirements and implement scalable automation and analytics solutions. * Evaluate and implement automation opportunities for new processes, workflows, and engineering operations. * Manage, maintain, and optimize GCP services including BigQuery, Cloud SQL, Cloud Storage, data integration services, monitoring, and cloud-native applications. * Design and maintain data models, data pipelines, and integrations supporting reporting and analytics platforms. * Develop and support Qlik Sense dashboards and reports to provide actionable insights for engineering and business stakeholders. * Lead and support migration of reporting and analytics solutions from Qlik Sense to Microsoft Power BI. * Develop Power BI datasets, dashboards, reports, and data models to support enterprise reporting requirements. * Conduct GitHub Pull Request reviews to ensure code quality, security, scalability, and maintainability. * Investigate, reproduce, and troubleshoot software and system defects in collaboration with feature engineering teams. * Participate in Root Cause Analysis (RCA) activities for software defects and infrastructure issues. * Contribute to solution design, development, testing, deployment, documentation, and continuous improvement initiatives. * Participate in Agile ceremonies including daily standups, sprint planning, backlog grooming, and technical reviews. * Monitor and maintain automation environments, cloud infrastructure, databases, and reporting platforms to ensure reliability and availability. * Implement feature enhancements, bug fixes, and performance improvements across automation, backend, and analytics solutions. ## Related Videos - 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