Automation & Analytics Engineer

Responsibilities:

• 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.

Deliverables:

• Production-ready Python automation frameworks, scripts, utilities, and reusable software components delivered through source control repositories.
• Scalable Python applications, automation frameworks, cloud services, APIs, and integration solutions supporting automation and reporting platforms.
• Technical documentation including solution architecture, API documentation, user guides, and integration specifications.
• Secure, optimized, and well-maintained GCP environments including BigQuery, Cloud SQL, Cloud Storage, and supporting cloud infrastructure.
• Reliable data pipelines and integrations supporting reporting, analytics, and operational processes.
• Interactive Qlik Sense dashboards and reports providing visibility into software quality, testing effectiveness, and operational performance.
• Successfully migrated Power BI dashboards, datasets, and reports with validated data accuracy and performance.
• Standardized reporting frameworks, data models, and dashboard governance processes.
• Detailed defect investigation reports, diagnostic logs, and technical analysis supporting issue resolution.
• Root Cause Analysis (RCA) reports and corrective action plans for major software, infrastructure, and data-related issues.
• Completed peer reviews and code approvals following established coding standards and quality processes.
• Regular updates to engineering, automation, and analytics dashboards providing actionable insights to stakeholders.
• User training materials and knowledge-transfer documentation for automation, reporting, and analytics platforms.

Requirements:

• 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 cloudbased 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.

Compensation and Benefits: Along with competitive pay, as a full-time KPIT employee, you are eligible for the following benefits:

• Geo Blue PPO and HSA plan.
• MetLife – Dental and Vision plan.
• Healthcare and Dependent care flexible spending account(FSA).
• 401k with employer match.
• Company-paid Basic Life and Long-term disability insurance.
• Voluntary benefits include Critical Illness, Hospital indemnity, accident insurance, theft, and legal service.
• Employee Assistance Program.
• Paid Holidays.
• Employee discounts and perks.
• Gym benefit.