MMOTA Automation & Analytics Engineer

• Posted 1 day ago • Updated 11 hours ago
Full Time
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Development Testing
  • Durable Skills
  • Operational Efficiency
  • Quality Assurance
  • Productivity
  • Workflow
  • Management
  • Scalability
  • Software Design
  • Testing
  • Continuous Improvement
  • Sprint
  • IaaS
  • Analytics
  • Computer Science
  • Computer Engineering
  • Information Technology
  • Software Engineering
  • Backend Development
  • Data Engineering
  • Scripting
  • Microservices
  • RESTful
  • Cloud Storage
  • Data Integration
  • Python
  • Google Cloud
  • Google Cloud Platform
  • Performance Tuning
  • SQL
  • Cloud Computing
  • Database
  • Extract
  • Transform
  • Load
  • Dashboard
  • Data Modeling
  • DAX
  • Reporting
  • Optimization
  • Data Visualization
  • Business Intelligence
  • Migration
  • Qlik Sense
  • Microsoft Power BI
  • Software Development Methodology
  • Agile
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Git
  • GitHub
  • Debugging
  • Root Cause Analysis
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Collaboration
  • Technical Writing
  • User Guides
  • Documentation
  • JIRA
  • Defect Management
  • Software Development
  • OTA
  • Verification And Validation
  • PPO
  • Health Care
  • FSA
  • Insurance
  • Legal

Summary

Job/Position Summary

Responsibilties:

  • 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 Google Cloud Platform 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.

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 (Google Cloud Platform) services including BigQuery, Cloud SQL, Cloud Storage, data integration technologies, and cloud-native application deployment.
  • Python and Google Cloud Platform 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.

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.

ESSENTIAL SKILLS /COMPETENCIES

python

Google Cloud Platform

PREFFERED SKILLS /COMPETENCIES

,"description":"
Responsibilties:
  • 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 Google Cloud Platform 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.

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 (Google Cloud Platform) services including BigQuery

    Cloud SQL

    Cloud Storage

    data integration technologies

    and cloud-native application deployment.
  • Python and Google Cloud Platform 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.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: panex
  • Position Id: ee7ebfe62ce639a22bfb082fc59b8262
  • Posted 1 day ago
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