S/4 HANA aATP Consultant

Digital Mold Data Scientist and Manufacturing Analytics Specialist

Job Summary

COAST Systems is seeking a Data Scientist and Manufacturing Analytics Specialist in India to support a global client’s Digital Mold program.

This position will work with large and complex manufacturing, engineering, tooling, maintenance, and quality datasets. The successful candidate will transform fragmented operational data into reliable datasets, dashboards, actionable insights, and continuous-improvement opportunities.

This is a hands-on analytics role requiring close collaboration with engineering, manufacturing, operations, and business stakeholders. The position is particularly suited to someone who can understand a technical manufacturing problem, determine what the data is showing, and communicate practical recommendations that improve performance.

Key Responsibilities

• Collect, prepare, cleanse, normalize, and validate manufacturing and engineering data from multiple sources.
• Establish reliable and repeatable datasets for analytics, reporting, and decision-making.
• Analyze data to identify trends, risks, performance gaps, improvement opportunities, and potential cost savings.
• Develop and maintain dashboards, visualizations, KPI reporting, and business intelligence solutions.
• Analyze maintenance and operational performance using measures such as:
• Mean Time to Repair or MTTR
• Mean Time Between Failures or MTBF
• Overall Equipment Effectiveness or OEE
• Preventive and corrective maintenance performance
• Tool reliability, condition, quality, utilization, and lifecycle indicators
• Work closely with engineering and operations teams to convert technical and operational problems into data-driven solutions.
• Support continuous improvement, operational excellence, and process optimization initiatives.
• Align analyses and recommendations with client goals, priorities, and expected business outcomes.
• Identify relationships among tooling, maintenance, production, quality, sensor, and lifecycle data.
• Present findings clearly to technical and nontechnical stakeholders.
• Help establish consistent data definitions, analytical methods, and reporting standards.
• Support the development of predictive analytics, machine learning, and AI-enabled capabilities where appropriate.
• Learn the COAST software environment and relevant client or third-party systems.
• Help map and connect tool-specific data across systems so that information can be aligned and used consistently.

Required Qualifications

• Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, engineering, operations research, or a related quantitative discipline.
• Strong data science and analytics experience involving large, complex, or multi-source datasets.
• Demonstrated experience with data preparation, cleansing, transformation, normalization, validation, and data-quality management.
• Strong statistical and analytical problem-solving skills.
• Proven experience developing dashboards, data visualizations, KPI reporting, and business intelligence solutions.
• Ability to analyze data and translate findings into clear, practical business or operational recommendations.
• Experience working with technical, engineering, operational, or business stakeholders.
• Strong continuous-improvement and process-optimization mindset.
• Ability to communicate clearly in English with global teams and client stakeholders.
• Ability to work independently, manage priorities, and investigate unclear or incomplete data.
• Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

• Experience analyzing data in a manufacturing, engineering, maintenance, operations, or asset-management environment.
• Understanding of manufacturing equipment, tooling, maintenance, quality, and asset lifecycle concepts.
• Familiarity with MTTR, MTBF, OEE, preventive maintenance, reliability, and related manufacturing KPIs.
• Experience in plastics manufacturing or packaging, including any of the following:
• Injection molding
• Blow molding
• Extrusion blow molding
• Injection stretch blow molding
• Compression molding
• Other polymer-processing operations
• Experience working with cloud-based data platforms or data lake environments.
• Experience combining data from multiple software systems, databases, APIs, files, or vendor platforms.
• Experience with sensor, machine, equipment, IoT, or time-series data.
• Exposure to predictive analytics, machine learning, anomaly detection, forecasting, or AI applications.
• Experience developing analytics that lead to actionable workflows, reduced costs, improved reliability, or reduced manual effort.
• Experience supporting global organizations or working in a client-facing environment.

Technical Skills

Candidates should demonstrate proficiency in several of the following areas:

• SQL
• Python or R
• Statistical analysis
• Data preparation and transformation
• Data validation and data-quality analysis
• Dashboard and visualization development
• Power BI, Tableau, QuickSight, or a comparable BI platform
• Cloud data lakes or cloud analytics environments
• Relational and non-relational data sources
• Advanced Microsoft Excel
• Predictive modeling or machine learning
• API or multi-system data integration

Specific experience with every listed technology is not required. The candidate must, however, have strong foundational analytics skills and the ability to learn unfamiliar platforms and data environments.

Critical Competencies

• Analytical curiosity
• Structured problem-solving
• Systems thinking
• Data accuracy and attention to detail
• Continuous-improvement mindset
• Business and operational awareness
• Clear written and verbal communication
• Cross-functional collaboration
• Client responsiveness
• Adaptability and willingness to learn
• Ability to convert analysis into action

Experience

Approximately 4 to 8 years of relevant professional experience is preferred. Candidates with fewer years may be considered if they demonstrate strong hands-on analytics experience, manufacturing exposure, and the ability to work directly with engineering and operational stakeholders.

What Success Looks Like

The successful candidate will:

• Create trusted and repeatable manufacturing datasets.
• Deliver dashboards and reports that stakeholders actively use.
• Identify meaningful risks, trends, and improvement opportunities.
• Help engineering and operations teams make better decisions from their data.
• Improve the consistency of tool-specific information across systems.
• Progressively develop more advanced predictive and AI-enabled Digital Mold capabilities.
• Produce measurable improvements in reliability, operational performance, cost, and efficiency.

Suggested Key Skills

Data Science, Manufacturing Analytics, Data Analytics, Business Intelligence, Dashboard Development, Data Visualization, Power BI, Tableau, Amazon QuickSight, SQL, Python, R, Statistical Analysis, Data Cleansing, Data Normalization, Data Validation, Data Quality, Manufacturing KPI, OEE, MTTR, MTBF, Predictive Analytics, Machine Learning, Continuous Improvement, Process Optimization, Maintenance Analytics, Reliability Analytics, Cloud Data Lake, Sensor Data, IoT Analytics, Injection Molding, Plastics Manufacturing

Lightning Job By Cutshort ⚡

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)

Job Overview:

We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

Responsibilities:

• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.

• Deploy and manage Kubernetes clusters using AWS.

• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.

• Monitor system performance using Datadog, ELK, and Cloudflare tools.

• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.

• Collaborate with development teams to design, implement and test infrastructure changes.

• Troubleshoot and resolve infrastructure issues as they arise.

• Participate in on-call rotation and provide support for production issues.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering or a related field.

• 4+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

• Strong understanding of Linux administration and shell scripting.

• Experience with automation tools such as Terraform, Ansible, or similar.

• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.

• Experience with container orchestration platforms such as Kubernetes.

• Familiarity with container technologies such as Docker.

• Experience with cloud providers such as AWS.

• Experience with monitoring tools such as Datadog and ELK.

Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently or in a team environment.

• Strong attention to detail.

• Ability to learn and apply new technologies quickly.

• Ability to work in a fast-paced and dynamic environment.

• Strong understanding of DevOps principles and methodologies.

Role - MLops Engineer

Required Experience - 4 Years

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Key Requirements:

• 4+ years of experience in Software Engineering with MLOps focus
• Strong expertise in AWS, particularly AWS SageMaker (required)
• AWS Data Zone experience (preferred)
• Proficiency in Python, R, Scala, or Spark
• Experience developing scalable, reliable, and secure applications
• Track record of production-grade development, integration and support

 Customer Care Executive (Voice & Sales Process)

We are seeking Customer Care Executives to join our dynamic team for both Voice and Sales processes. As a Customer Care Executive, you will handle incoming calls, address customer inquiries, provide information about our products/services, and promote sales through effective communication. Fluency in English is mandatory, along with proficiency in any one of the following languages: Hindi, Marathi, Tamil, Telugu, Malayalam, or Kannada.

Qualifications:

- Minimum educational qualification: 12th pass.

- Age between 18 to 30 years.

- Strong verbal and written communication skills in English and one regional language.

- Ability to empathize with customers and resolve their queries efficiently.

- Prior experience in customer service or sales will be advantageous.

Responsibilities:

- Manage and resolve customer complaints.

- Achieve sales targets and goals set by the company.

- Maintain customer satisfaction through excellent service.

Salary and Benefits:

- Salary range: INR 15,000 to 18,000 per month.

- Incentives based on performance.

- Comprehensive training and growth opportunities.

Note: This role is physically based out of Mauritius - and you will be required to relocate. All relocation related costs will be taken care of (work permit/visa/shared accommodation/flight tickets)

We are seeking an accomplished and detail-oriented Senior QA Engineer to join our dynamic team. As a Senior QA Engineer, you will play a pivotal role in ensuring the quality and reliability of our software products through meticulous manual testing processes.

Your extensive experience and expertise will be instrumental in shaping the user experience by meticulously testing and validating software functionality, identifying defects, collaborating with cross-functional teams to deliver high- quality solutions, and coaching junior QA testers.

We are seeking an accomplished and detail-oriented Senior QA Engineer to join our dynamic team. As a Senior QA Engineer, you will play a pivotal role in ensuring the quality and reliability of our software products through meticulous manual testing processes.

Your extensive experience and expertise will be instrumental in shaping the user experience by meticulously testing and validating software functionality, identifying defects, collaborating with cross-functional teams to deliver high-quality solutions, and coaching junior QA testers.

Key Performance Indicators:

• Team's defect detection rate and test coverage.

• Ability to independently evaluate, plan, and execute testing activities.

• Timely delivery of test results and defect reports.

• Effective mentorship and professional development of team members.

• Consistent adherence to project timelines and quality standards.

About the company

Extramarks is a leading educational - technology company, creating student-friendly digital learning solutions and keeping pace with globalization and technology in education. We have been in the market for the last 13 years operating different verticals PAN India. We provide education learning techniques across India, Singapore, Kuwait, UAE and South Africa. We at Extramarks are looking for Customer Relations Executives tasked with leading a team of executives and maintaining fruitful relations with our existing customers. The priority is to assist the organization to acquire new customers, and to maintain a good relationship with our existing ones. This means effective business development and customer relations executives are in massive demand in nearly every job sector there is including business to business, business to customer and even non –profit organizations.

About the role

The role being offered is Customer Relations Executive for B2C segment. As a Customer relations executive, you will be required to maintain continuous contacts with our existing customers and ensure the highest level of Engagement score.

Location

Noida, India

Roles and responsibilities

1. Keep abreast with Extramarks latest offerings and best practices
2. Ensure smooth onboarding of the user/customer, and tell them about the features of the product for better engagement of the Customer
3. Maintain and strengthen relationship with existing customers
4. Collaborate with the support team (technical and academic) to address customer queries
5. Conducting in-depth needs assessments to better understand each customer’s requirements to ensure highest satisfaction and Higher Utlization of the Application
6. Prompting clients to upgrade their existing packages and to purchase additional offerings.
7. Harnessing relationships to generate leads from referrals to maximize our profits.
8. Ensuring a good renewal rate of the subscribed packages
9. Retain customers who raised an issue for refund/cancellation

Selection process

There are two rounds for the selection process:

➢ PI - 1st Round

➢ PI - 2nd Round

Expectation

• B.E. / B.Tech, MBA, PGDM, Or Any Graduate/Post Graduate
• Excellent interpersonal and communication skills

• Design and Build sophisticated and highly scalable products using Flutter.
• Translate and build designs and wireframes into high-quality responsive UI code.
• Proficiency in the use of Model-View-Controller (MVC) and Model-View-View Model-Controller (MVVM) which relates to designing and developing architecture.
• Learn and explore feasible architecture options for implementing new features.
• Suggest space and time-efficient Data Structures.
• Follow best practices while maintaining structure and comprehensive documentation to ensure context across teams.
• Use CI/CD for smooth deployment.
• Document the project and code efficiently.
• Communicate with the Project Manager regarding the status of projects and suggest appropriate deadlines for new functionalities.
• Ensure security guidelines are always followed while developing the app.
• Maintaining software through product lifecycle including design, development, verification, and bug fixes.
• Perform time profiling and memory leaks assessment.
• Help with building the company's tech team and iterating on the hiring framework; Create peer learnings for team members and build context for new team members.
• Provide regular feedback to your team (peers and managers) to ensure continuous improvement.

Skills & Requirements

• Must have experience working with Flutter SDK and Dart programming language.
• Strong knowledge of Flutter widgets like Cupertino for iOS and Material Components for Android.
• Knowledge of building flutter modules and flutter plug-ins.
• Knowledge of native Android and iOS: To build custom Flutter Packages.
• Firebase: Should have experience with Cloud Firestore, Push Notifications, Cloud Functions, and Analytics.
• Git: To manage and collaborate in different projects with the rest of the team.
• Know how to publish apps to Playstore and Appstore

Good to have

• Experience in the fintech industry
• Experience working with cybersecurity and compliance

• Design and Build cloud architecture/infrastructure
• Provision, maintain and administer MS Azure Cloud Environment
• Windows server administration.
• Implement and maintain cloud monitoring, auditing and network management functions.
• Optimize the processes for cloud-based data storage, backups and restores.
• Implement cloud security to protect data, applications, and infrastructure.
• Develop, maintain, and execute Configuration Management scripts.

• Experience in server hardening best practices
• Knowledge of special security arrangements like Network security, DoS Protection, OS firewall, etc
• Ability to work with software firewalls and web application firewalls
• Log management and replication to a central server
• Ability to architect a secure deployment in Azure/Aws cloud using the native abstractions and services provided by respective cloud service providers.
• Ability to conduct a self VAPT of the network and servers, so that the environments are better prepared for external audits by customers' info sec teams and/or auditors.
• Ability to use DevOps automation to setup environments from scratch and also patch them from time to time to handle the changes resulting out of various factors e.g. VAPT audits, customer requests
• Experience building solutions using MS Azure DevOps.
• Knowledge of general networking concepts (e.g., DNS, TCP/IP, and firewalls).
• Experience development & maintenance of a CI/CD system.
• In-depth knowledge of build and deployment automation technologies.
• An attitude and ability to take ownership and deliver a high-quality product, on time.
• Experience of implementing DevOps
• Experience in DevOps Architectural decisions, tools selection, best practices.
• Constant research and learning on new tools and technologies in DevOps space.