Transformation Jobs

Safe Release Train Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced Safe Release Train Engineer to join our growing IT / Technology team in Pune. This role is critical to the successful delivery of our Agile initiatives and requires a strong understanding of SAFe principles and practices. The ideal candidate will possess a blend of technical expertise, strong communication skills, and a proven ability to facilitate and drive continuous improvement. Key Responsibilities The Safe Release Train Engineer will be responsible for facilitating events and driving execution of the Program Increment (PI) plans. This includes ensuring that Agile teams are aligned, dependencies are managed effectively, and risks are mitigated proactively. The role will also involve collaborating with stakeholders at all levels to ensure transparency and alignment on program goals and progress. Required Skills & Qualifications Agile Expertise: Demonstrated proficiency in Agile methodologies, including a deep understanding of Scrum and Kanban principles. SAFe Framework: Extensive knowledge and practical experience applying the SAFe framework to large-scale Agile development efforts. Program Management: Proven ability to manage programs effectively, including defining scope, timelines, and resources. Stakeholder Management: Excellent interpersonal and communication skills, with the ability to build and maintain strong relationships with stakeholders at all levels. Executive Communication: Ability to communicate complex technical information clearly and concisely to executive audiences. Facilitation: Strong facilitation skills, with the ability to lead meetings and workshops effectively. Conflict Resolution: Ability to mediate and resolve conflicts constructively. Data Analysis: Ability to analyze data and identify trends to inform decision-making. Continuous Improvement: A passion for continuous improvement and a commitment to driving positive change. Agile Lifecycle Management: Comprehensive understanding of the Agile software development lifecycle. Azure DevOps : Experience using Azure DevOps for Agile project management and collaboration. Jira : Proficiency in using Jira for issue tracking, project management, and reporting. Power BI : Ability to leverage Power BI for data visualization and reporting. Release Train Engineer : Deep understanding of the role and responsibilities of a Release Train Engineer within the SAFe framework. Program Execution Leadership: Ability to provide leadership and guidance to program teams. Delivery Plans: Experience creating and managing delivery plans. Dependency Management: Ability to identify, track, and resolve dependencies effectively. Risk Management: Ability to identify, assess, and mitigate risks proactively. Agile Delivery: Proven track record of successfully delivering Agile projects. Agile Maturity: Ability to assess and improve Agile maturity within an organization. Operational Efficiency: Focus on improving operational efficiency through Agile practices. PI Review: Experience facilitating and participating in Program Increment (PI) reviews. Agile Transformation Initiatives: Experience supporting and driving Agile transformation initiatives. Distributed Engineering Teams: Experience working with and supporting distributed engineering teams. Education : Bachelor’s degree in engineering, computer science, or a related discipline. Experience : 8-9 years of relevant experience in a related field. This level of experience indicates a seasoned professional capable of independently managing complex projects and mentoring junior team members. What We Offer Salary : Not Disclosed

CATIA CAA RADE Developer / CATIA Customization Engineer.

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled CATIA CAA RADE Developer / CATIA Customization Engineer to join our team. This role will focus on developing and customizing CATIA solutions using CATIA CAA RADE , ensuring optimal performance and alignment with business needs. The position requires an onsite presence. Key Responsibilities This role involves a deep understanding of CATIA and its customization capabilities. You will be responsible for developing and maintaining CATIA applications, addressing complex technical challenges, and ensuring the stability and efficiency of CATIA environments. Required Skills & Qualifications Education: A Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Computer Science, or a related discipline is required. Experience: 5-6 years of experience in software development, with a strong focus on CATIA customization and development. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. CATIA CAA RADE: Extensive proficiency in CATIA CAA RADE development, including a thorough understanding of its capabilities and limitations. CATIA V5: Strong working knowledge of CATIA V5 architecture and its functionalities. Programming Languages: Expertise in C++ and proficiency in C# and VBA for CATIA automation. Object-Oriented Programming (OOP): Solid understanding of OOP principles, including Inheritance , Polymorphism , and Templates , to design and implement robust and maintainable CATIA customizations. Memory Management: Demonstrated ability to manage memory effectively, utilizing techniques like STL to prevent memory leaks and optimize performance. CATIA Architecture & Frameworks: Deep understanding of CATIA architecture , CATIA frameworks , and CATIA interfaces , enabling efficient development of custom solutions. CAA APIs: Proficiency in utilizing CAA APIs to extend CATIA functionality and integrate with other systems. Geometric Modeling: Strong grasp of CATIA geometric modeling concepts , including 3D geometric entities , CAD geometry , and Geometrical entities . Coordinate Systems: Solid understanding of Coordinate Geometry , including Vectors , Matrices , Coordinate systems , Transformation matrices , Translation , Rotation , Scaling , Local coordinate systems , and Global coordinate systems . Mathematical Operations: Proficiency in performing mathematical operations such as Dot product , Cross product , calculating Distances , and Angles , as well as utilizing Projection and Normal vectors . CATIA Automation: Experience with CATIA V5 Automation APIs for automating tasks and workflows. CATIA Knowledgeware: Familiarity with CATIA Knowledgeware and EKL for creating and managing knowledge-based engineering solutions. CATIA UI Development: Ability to develop custom CATIA UI elements, CATIA dialogs , and CATIA commands . Data Exchange Formats: Knowledge of data exchange formats such as CGM , STEP , IGES , STL , and DXF . Geometric Algorithms: Understanding of geometric algorithms, including Intersection , Convex hull , Collision detection , and Interference detection . Version Control: Experience using GitHub for version control and collaboration. Analytical & Problem-Solving Skills: Demonstrated Analytical Skills and Problem-Solving Skills to effectively troubleshoot and resolve complex technical issues.

CATIA Automation Engineer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated CATIA Automation Engineer to join our team. This role will focus on developing and implementing automation solutions using CATIA V5 Automation to enhance design efficiency and data management processes. The ideal candidate will possess a strong foundation in mechanical engineering principles and a passion for leveraging technology to solve complex problems within a CAD environment. Key Responsibilities The CATIA Automation Engineer will be responsible for the following: Developing and maintaining automation scripts and applications using CATIA V5 Automation , C# , and .NET to streamline design workflows. Utilizing CATIA V5 Automation APIs and the CATIA Object Model to interact with CATPart , CATProduct , and CATDrawing files. Troubleshooting and debugging automation scripts to ensure accuracy and reliability. Collaborating with design engineers to identify opportunities for automation and process improvement. Creating and maintaining documentation for automation scripts and processes. Performing CAD Data Migration and CAD Standardization tasks as needed. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Computer Science, or a related discipline. 3 - 4 years of experience in a related role, demonstrating a solid understanding of automation principles and CAD software. Proficiency in CATIA V5 Automation , including the ability to develop and implement automation solutions. Strong programming skills in C# and .NET , with a solid understanding of Object-Oriented Programming (OOP) principles. Experience with VBA for automating tasks within CATIA V5 . Familiarity with CAD Geometry concepts, including Points , Lines , Planes , Curves , Surfaces , Vectors , and Coordinate Systems . Knowledge of Transformations and COM / COM Interop . Proficiency in using Visual Studio for development and Debugging . Experience with Windows Forms and WPF for creating user interfaces. Ability to work with data formats such as XML and JSON . Experience with data manipulation using Excel , CSV , and SQL . Strong Analytical Skills and Problem-Solving Skills . Experience with GitHub for version control.

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in India. This role is ideal for a candidate with a strong foundation in data science and a passion for leveraging AI/ML to solve complex business challenges within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, implementation, and maintenance of AI/ML solutions. This includes collaborating with cross-functional teams to identify opportunities for AI/ML applications, designing and building AI/ML models, and ensuring the scalability and reliability of these models in a production environment. The role requires a proactive approach to problem-solving and a commitment to continuous improvement. Required Skills & Qualifications AI/ML : A deep understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for model building, training, and evaluation. Python : Proficiency in Python programming language for data manipulation, statistical analysis, and AI/ML model development. Google Cloud Platform (GCP) : Experience with GCP services, including Big Query , Dataproc , Data Fusion , and Cloud SQL , for data storage, processing, and analysis. Data/Analytics : Strong analytical skills with the ability to extract meaningful insights from large datasets and communicate findings effectively. Automation : Experience in automating data processing and AI/ML workflows to improve efficiency and reduce errors. Business Analysis : Ability to understand business requirements and translate them into technical specifications for AI/ML solutions. Business Transformation : A grasp of how AI/ML can be leveraged to drive business transformation and create competitive advantage. CI/CD : Familiarity with continuous integration and continuous delivery ( CI/CD ) practices for deploying and managing AI/ML models. ETL : Experience with extract, transform, load ( ETL ) processes for data integration and preparation. Jira : Proficiency in using Jira for project management and issue tracking. Data Flow : Understanding of data flow principles and techniques for designing efficient data pipelines. TERRAFORM : Experience with TERRAFORM for infrastructure as code. Tekton : Knowledge of Tekton for container-native CI/CD. AIRFLOW : Experience with AIRFLOW for orchestrating complex data workflows. Airflow PySpark : Ability to utilize Airflow with PySpark for large-scale data processing. POSTGRES : Familiarity with POSTGRES database. API : Understanding of API design and integration. GCP : Comprehensive knowledge of GCP ecosystem. Financial Reporting : Ability to apply AI/ML techniques to financial data and generate insightful reports. Leadership : Demonstrated leadership potential with the ability to guide and mentor junior team members. Strategic Communication : Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Communication Skills : Strong written and verbal communication skills. Analytical Skills : Exceptional analytical and problem-solving skills. Problem-Solving Skills : Ability to identify, analyze, and solve complex problems effectively. GitHub : Proficiency in using GitHub for version control and collaboration. Qualifications : A Bachelor's Degree and a Master's Degree are required. Experience Required : We are seeking candidates with 3-9 years of relevant experience in data science or a related field. This level of experience indicates a strong foundation in AI/ML principles and a proven ability to deliver impactful results. What We Offer Salary :

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking four skilled Software Engineers to join our team in Chennai. This role is ideal for individuals with a strong foundation in data management and a passion for leveraging SAP technologies to drive business solutions. Key Responsibilities The Software Engineer will be responsible for a range of data-related tasks, including data extraction, transformation, and loading ( ETL ). They will also be involved in the technical specification documentation and ensuring smooth production cutovers through rigorous testing and rehearsals. Required Skills & Qualifications SAP S/4 HANA : Demonstrated proficiency in utilizing SAP S/4 HANA for data management and application development. SAP BODS : Expertise in SAP BODS (BusinessObjects Data Services) for data extraction, transformation, and loading processes. Data Migration Cockpit: Familiarity with the Data Migration Cockpit for efficient data migration activities. LSMW : Strong understanding and practical experience with LSMW (Legacy System Migration Workbench) for data transfer and migration. IDOC Loading Method : Knowledge of IDOC (Intermediate Document) loading methods for seamless data exchange. Data Extraction: Ability to extract data from various sources using appropriate techniques. Data Transformation: Skill in transforming data to meet specific requirements and ensure data quality. Data Loading: Experience in loading data into target systems accurately and efficiently. ETL : Solid understanding of ETL principles and practices. BAPI : Proficiency in utilizing BAPI (Business Application Programming Interface) for data access and manipulation. File-based Data Loading: Ability to load data from various file formats. BODS Scripting : Ability to write and maintain BODS scripts for data transformation and loading. SQL : Strong SQL skills for data querying, manipulation, and analysis. Data Validation: Ability to perform thorough data validation to ensure data accuracy and integrity. Data Transformation: Skill in transforming data to meet specific requirements and ensure data quality. Performance Tuning: Ability to optimize data processes for improved performance. Technical Specification Documentation: Ability to create clear and concise technical specifications. Production Cutover: Experience in planning and executing production cutovers. Mock Runs: Ability to conduct thorough mock runs to identify and resolve potential issues. Dress Rehearsals: Ability to participate in dress rehearsals to ensure a smooth production cutover. Experience Required: 6 + years of experience in a related field. This level of experience indicates a seasoned professional capable of independently managing complex data migration projects and mentoring junior team members. What We Offer Salary: Not provided.