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McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Brand Marketing / Menu function with a specific focus on the Menu Data product and initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted Menu data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance, customer preferences, and marketing effectiveness. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
 </li>
 <li>
 Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
 </li>
 <li>
 Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
 </li>
 <li>
 Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem.
 </li>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 5+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Proven ability to mentor team members and lead technical initiatives across multiple workstreams
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer III [T500-20127]

Dun & Bradstreet

<div>
 
 Why We Work at Dun &amp; Bradstreet
 
 
 
 Dun &amp; Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers .
 
 
 
 Director &ndash; Data Engineering (Hyderabad)
 
 
 
 We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering function from Hyderabad. This leadership role is pivotal in shaping our enterprise data strategy, driving platform innovation, and delivering scalable data solutions. You will be responsible for building and managing high-performing teams, collaborating with cross-functional stakeholders, and ensuring the delivery of robust, secure, and governed data platforms.
 
 
 The ideal candidate will bring deep expertise in data engineering domains such as ingestion, mastering, data mapping, data products, observability, governance, and security, along with a strong grasp of end-to-end platform development including UI, APIs, orchestration, and data processing.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Leadership &amp; Strategy: Define and drive the data engineering vision, strategy, and roadmap aligned with business goals. Lead and mentor a team of data engineers, architects, and analysts across multiple projects. Foster a culture of innovation, accountability, and continuous improvement.
 </li>
 <li>
 Platform Development: Architect and oversee the development of scalable data platforms using modern tech stacks. Ensure seamless integration across UI, APIs, orchestration layers, and data processing pipelines.
 </li>
 <li>
 Data Engineering Excellence: Own and optimize data ingestion, mastering, mapping, and transformation processes. Drive the creation and management of reusable data products and services.
 </li>
 <li>
 Governance &amp; Security: Implement robust data governance frameworks ensuring compliance and data quality. Champion data security best practices across the platform.
 </li>
 <li>
 Operational Excellence: Establish data observability practices for proactive monitoring and issue resolution. Collaborate with DevOps and SRE teams to ensure platform reliability and scalability.
 </li>
 <li>
 Stakeholder Management: Partner with business, product, and technology leaders to align data initiatives with strategic priorities. Communicate effectively with executive leadership, translating technical concepts into business value.
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Experience &amp; Expertise: 12+ years of experience in data engineering, with at least 3&ndash;5 years in leadership roles. Proven track record of building and scaling data platforms in cloud-native environments.
 </li>
 <li>
 Technical Skills: Strong background in Apache Spark, Airflow, Python, FastAPI, and Google Cloud Platform (GCP). Deep understanding of data architecture, data modeling, ETL/ELT pipelines, and orchestration frameworks.
 </li>
 <li>
 Leadership &amp; Communication: Demonstrated ability to lead cross-functional teams and manage senior stakeholders. Excellent communication, presentation, and interpersonal skills.
 </li>
 <li>
 Location-Specific Attributes: Familiarity with the Hyderabad tech ecosystem and ability to attract and retain top talent. Comfortable working in a hybrid or onsite leadership capacity from our Hyderabad office.
 
 
 </li>
 </ul>
 All Dun &amp; Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb . Official communication from Dun &amp; Bradstreet will come from an email address ending in @dnb.com.
 
 
 Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy , which governs the processing of visitor data on this platform.
</div>

Director (R-18372)

Enterprise Minds, Inc

<div>
 
 Data Scientists / Data Visualization Experts (Python) &amp; Data Engineers
 
 
 
 
 
 📍
 
 Location:
 
 Remote (Work from Anywhere)
 
 
 💼
 
 Experience:
 
 8&ndash;10 years
 
 
 
 
 
 ⚡
 
 Proficiency Level:
 
 Lead / Senior (Production-level coding)
 
 
 
 About the Role
 
 
 
 We are looking for highly skilled
 
 Data Scientists, Data Visualization Experts (Python), and Data Engineers
 
 to join our team on a
 
 remote contingent project
 
 . This role is focused on building high-quality
 
 datasets and visualizations for LLM (Large Language Model) training
 
 .
 
 
 You will play a critical role in:
 
 <ul>
 <li>
 Designing and creating advanced
 
 visualizations
 
 .
 </li>
 <li>
 Replicating dashboards from existing images.
 </li>
 <li>
 Conducting
 
 insight evaluation
 
 and prompt creation.
 </li>
 <li>
 Writing
 
 production-grade Python code
 
 for scalable data workflows.
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 data pipelines
 
 and visualization assets.
 </li>
 <li>
 Build dashboards and replicate designs from provided visuals.
 </li>
 <li>
 Perform
 
 data wrangling, cleaning, and transformation
 
 for ML readiness.
 </li>
 <li>
 Apply strong
 
 analytical reasoning
 
 to extract meaningful insights.
 </li>
 <li>
 Ensure production-quality code for
 
 scalable and reliable solutions
 
 .
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 
 Python
 
 : pandas, matplotlib, plotly, bokeh, dash
 </li>
 <li>
 
 Data wrangling &amp; transformation
 
 </li>
 <li>
 
 Data visualization &amp; dashboarding
 
 </li>
 <li>
 
 Data engineering workflows
 
 </li>
 <li>
 Strong
 
 analytical and problem-solving skills
 
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 8&ndash;10 years of hands-on experience in
 
 Data Science / Data Engineering / Data Visualization
 
 .
 </li>
 <li>
 Ability to operate at a
 
 lead level
 
 and deliver production-ready code.
 </li>
 <li>
 Strong communication and collaboration skills in a
 
 remote team environment
 
 .
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Senior Manager, Integrated Test Lead &ndash; Data Product Engineering &amp; Delivery
 
 
 
 
 (Sr Manager, Technology Testing)
 
 
 
 Lead comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives. Drive quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Test Strategy &amp; Leadership:
 
 
 <ul>
 <li>
 Design and implement end-to-end testing frameworks for data pipelines, ETL / ELT processes, and analytics platforms
 </li>
 <li>
 Ensure test coverage across ETL / ELT, data transformation, lineage and consumption layers
 </li>
 <li>
 Develop integrated testing strategies spanning multiple systems, APIs, and data sources
 </li>
 <li>
 Establish testing standards, methodologies, and best practices across the organization
 </li>
 </ul>
 
 
 
 
 
 Data Engineering Testing:
 
 
 <ul>
 <li>
 Create comprehensive test suites for data ingestion, transformation, and output validation
 </li>
 <li>
 Design data quality checks, schema validation, and performance testing for large-scale datasets
 </li>
 <li>
 Implement automated testing for streaming and batch data processing workflows
 </li>
 <li>
 Validate data integrity across multiple environments and systems and against business rules
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Coordination:
 
 
 <ul>
 <li>
 Collaborate with data engineers, software developers, product managers, and DevOps teams
 </li>
 <li>
 Coordinate testing activities across multiple product streams and release cycles
 </li>
 <li>
 Manage testing dependencies and critical path items in complex delivery timelines
 </li>
 </ul>
 
 
 
 
 
 Quality Assurance &amp; Process Improvement:
 
 
 <ul>
 <li>
 Establish metrics and KPIs for testing effectiveness and product quality to drive continuous improvement in testing processes and tooling
 </li>
 <li>
 Lead root cause analysis for production issues and testing gaps
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership:
 
 
 <ul>
 <li>
 Mentor junior QA engineers and promote testing best practices
 </li>
 <li>
 Evaluate and implement new testing tools and technologies
 </li>
 <li>
 Design scalable testing infrastructure and CI/CD integration
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 10+ years in software testing with 3+ years in leadership roles
 </li>
 <li>
 8+ year experience testing data engineering systems, ETL pipelines, or analytics platforms
 </li>
 <li>
 Proven track record with complex, multi-system integration testing
 </li>
 <li>
 Experience in agile/scrum environments with rapid delivery cycles
 </li>
 <li>
 Strong SQL experience with major databases (Redshift, Bigquery, etc.)
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP) and their data services
 </li>
 <li>
 Knowledge of data pipeline tools (Apache Airflow, Kafka, Confluent, Spark, dbt, etc.)
 </li>
 <li>
 Proficiency in data warehousing, data architecture, reporting and analytics applications
 </li>
 <li>
 Scripting languages (Python, Java, bash) for test automation
 </li>
 <li>
 API testing tools and methodologies
 </li>
 <li>
 CI/CD/CT tools and practices
 </li>
 <li>
 Strong project management and organizational skills
 </li>
 <li>
 Excellent verbal and written communication abilities
 </li>
 <li>
 Experience managing multiple priorities and competing deadlines
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Sr. Manager, Technology Testing [T500-20067]

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Data Platform Observability Lead:
 
 
 
 The Data Platform Observability Lead is responsible for establishing and advancing the observability, monitoring, and reliability practices across the Enterprise Data &amp; Analytics (EDAA) Platforms landscape. This role ensures end-to-end visibility into platform performance, data pipeline health, system availability, and operational SLAs. With a deep understanding of monitoring tools and SRE principles, the Observability Lead enables proactive issue detection, faster incident resolution, and continuous improvement of platform performance and reliability.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Design and implement comprehensive observability frameworks to monitor performance, reliability, and availability of EDAA data platforms and services.
 </li>
 <li>
 Define and track key SLIs, SLOs, and KPIs across critical platform components and data pipelines.
 </li>
 <li>
 Lead the integration of monitoring, logging, tracing, and alerting tools to enable real-time insights and root cause analysis.
 </li>
 <li>
 Collaborate with platform engineering, SRE, and product teams to enhance observability coverage and automate incident responses.
 </li>
 <li>
 Drive the adoption of best practices in telemetry collection, dashboards, and visualization for operational excellence.
 </li>
 <li>
 Oversee incident management processes and post-mortem practices to ensure continuous reliability improvements.
 </li>
 <li>
 Provide leadership in tool evaluation and deployment across observability and performance management platforms.
 </li>
 <li>
 Partner with security, compliance, and data governance teams to ensure visibility into data usage, lineage, and policy adherence.
 </li>
 <li>
 Lead operational reviews and reporting to highlight system health, risks, and opportunities for optimization.
 </li>
 <li>
 Mentor and coach engineers and analysts on observability concepts and tools to build a culture of shared ownership and resilience.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 8+ years of experience in platform engineering, site reliability engineering (SRE), DevOps, or observability roles
 </li>
 <li>
 Proficient with of ETL Pipeline&rsquo;s
 </li>
 <li>
 Strong expertise with observability tools and platforms (e.g., Datadog, Grafana, Prometheus, ELK, OpenTelemetry, Splunk)
 </li>
 <li>
 Deep understanding of monitoring distributed data platforms, data pipelines, and cloud-native architectures (e.g., AWS, GCP, Azure)
 </li>
 <li>
 Experience setting and managing SLIs/SLOs/SLAs in high-availability environments
 </li>
 <li>
 Strong background in incident response, performance tuning, and root cause analysis
 </li>
 <li>
 Proven ability to lead cross-functional collaboration and align technical work with business outcomes
 </li>
 <li>
 Bachelor's degree in computer science, Engineering, or related field; advanced degree or certifications preferred
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid
 
 .
 
 
 
 
 
 
 
 Additional Information:
 
 
 
 McDonald&rsquo;s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald&rsquo;s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 McDonald&rsquo;s Capability Center India Private Limited (&ldquo;McDonald&rsquo;s in India&rdquo;) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald&rsquo;s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald&rsquo;s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.
 
</div>

Platform Engineering - III [T500-20076]

Cubic Corporation

<div>
 
 Business Unit:
 
 
 
 Cubic Transportation Systems
 
 
 
 Company Details:
 
 
 
 When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people&rsquo;s lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global issues through innovation and service to our customers and partners.
 
 
 We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD). Explore more on Cubic.com.
 
 
 
 Job Details:
 
 
 
 The
 
 Principal Operations
 
 
 Project Engineer
 
 is a hands-on technical leader responsible for ensuring the stability, reliability, and performance of Cubic&rsquo;s production systems. This role focuses on diagnosing and resolving complex software defects, configuration issues, and infrastructure challenges in live environments. As the engineering authority for assigned programs, the engineer will lead root cause analysis, drive corrective actions, and guide cross-functional teams to maintain operational excellence across mission-critical transportation systems.
 
 
 
 Key Responsibilities:
 
 
 
 
 Production Support &amp; Issue Resolution
 
 
 
 <ul>
 <li>
 Lead the investigation and resolution of high-impact production software defects and configuration issues.
 </li>
 <li>
 Perform deep-dive root cause analysis across application, infrastructure, and integration layers.
 </li>
 <li>
 Collaborate with development, QA, and operations teams to implement permanent fixes and preventive measures.
 </li>
 <li>
 Maintain system stability through proactive monitoring, tuning, and configuration management.
 
 
 
 </li>
 </ul>
 
 Technical Leadership
 
 
 
 <ul>
 <li>
 Own the technical baseline for system architecture, design, and configuration across the full lifecycle.
 </li>
 <li>
 Serve as the escalation point for complex technical issues affecting production environments.
 </li>
 <li>
 Guide junior engineers and support teams in troubleshooting and resolution techniques.
 </li>
 <li>
 Chair technical reviews and approve changes impacting live systems.
 
 
 
 </li>
 </ul>
 
 Operational Excellence
 
 
 
 <ul>
 <li>
 Ensure systems meet performance, availability, and supportability targets.
 </li>
 <li>
 Develop and maintain operational documentation, including runbooks, configuration guides, and incident response procedures.
 </li>
 <li>
 Lead post-incident reviews and drive continuous improvement in support processes.
 </li>
 <li>
 Interface with customers and vendors to resolve escalated issues and align on technical solutions.
 
 
 
 </li>
 </ul>
 
 Project &amp; Change Management
 
 
 
 <ul>
 <li>
 Support deployment planning and execution, ensuring readiness and rollback strategies are in place.
 </li>
 <li>
 Participate in change control boards and release planning to assess operational impact.
 </li>
 <li>
 Contribute to proposal efforts by estimating support and maintenance requirements for new solutions.
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Systems Engineering, Computer Science, Electrical Engineering, or related field.
 </li>
 <li>
 15+ years of experience in systems engineering, with a strong focus on production support and defect resolution.
 </li>
 <li>
 Proven expertise in diagnosing and resolving complex software and infrastructure issues in live environments.
 </li>
 <li>
 Experience with monitoring tools, log analysis, and performance tuning.
 </li>
 <li>
 Familiarity with configuration management systems and CI/CD pipelines.
 </li>
 <li>
 Strong communication skills and ability to work under pressure in fast-paced operational settings.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience in transportation, defense, or other regulated industries.
 </li>
 <li>
 Knowledge of ITIL incident, problem, and change management processes.
 </li>
 <li>
 Familiarity with tools such as DOORS, EPDM, and All Change.
 </li>
 <li>
 Experience with high-availability architectures and disaster recovery planning.
 
 
 
 </li>
 </ul>
 
 Worker Type:
 
 
 
 Employee
</div>

Principal Operations Project Engineer

LTIMindtree

<div>
 
 
 LTIMindtree
 
 is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree &mdash; a Larsen &amp; Toubro Group company &mdash; solves the most complex business challenges and delivers transformation at scale.
 
 
 
 
 
 
 Job Title : Engineering CAD Admin(with License Management and Server Maintenance Exp)
 
 
 
 
 Location: PAN India
 
 
 
 NP: Immediate to 30 days highly preferred
 
 
 
 
 
 
 Responsibilities
 
 
 
 We are seeking a Specialist with 5 to 7 years of experience in Engineering CAD and CAE tools to support advanced engineering projects and simulations
 
 
 
 
 
 Job Description
 
 
 Work within the Engineering Advanced skill cluster to deliver highquality CAD and CAE solutions for complex projects
 
 
 Utilize expertise in EngineeringCADOthers and EngineeringCAEOthers to support design analysis and optimization activities
 
 
 Collaborate with crossfunctional engineering teams to ensure seamless integration of CAD and CAE outputs
 
 
 Apply best practices and industry standards in engineering modeling simulation and documentation
 
 
 Stay updated with the latest advancements in engineering design tools and simulation technologies
 
 
 Contribute to the continuous improvement of engineering processes and methodologies
 
 
 Support knowledge sharing and mentoring within the team
 
 
 
 
 
 Roles and Responsibilities
 
 
 Lead and execute engineering design and simulation tasks using advanced CAD and CAE tools
 
 
 Interpret project requirements and translate them into effective engineering solutions.
 
 
 Conduct detailed analyses and simulations to validate design concepts and ensure compliance with technical specifications
 
 
 Prepare technical documentation reports and presentations for internal and external stakeholders
 
 
 Collaborate with simulation and platform engineering teams to enhance model accuracy and workflow efficiency
 
 
 Troubleshoot technical issues related to CADCAE tools and provide expert level support
 
 
 Identify opportunities for process automation and tool optimization
 
 
 Participate in design reviews technical discussions and project planning sessions
 
 
 
</div>

Engineering CAD Admin

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