Documentation Jobs

SAP BTP Integration & Build Apps Specialist

SACHA Engineering•

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced SAP BTP Integration & Build Apps Specialist to join our team in a hybrid work mode. This role will be pivotal in designing, building, and maintaining integrations and applications on the SAP Business Technology Platform (BTP) , ensuring alignment with business requirements and adherence to security and compliance standards. Key Responsibilities The SAP BTP Integration & Build Apps Specialist will be responsible for a range of tasks including, but not limited to, the design, development, and implementation of SAP BTP -based solutions. This includes building and maintaining CI/CD pipelines , ensuring application stability , and creating comprehensive technical documentation and operational runbooks . The role also involves collaborating with cross-functional teams to ensure seamless integration with existing S/4HANA systems and adherence to audit and compliance requirements. Required Skills & Qualifications SAP BTP : Demonstrated proficiency in utilizing SAP Business Technology Platform for application development and integration. Cloud Foundry : Strong understanding and practical experience with the Cloud Foundry platform. Destination & Connectivity Services : Expertise in configuring and managing Destination & Connectivity Services for secure and reliable data exchange. XSUAA : Proficiency in utilizing XSUAA for authentication and authorization within SAP BTP environments. Cloud Identity Services (IAS/IPS) : Experience with Cloud Identity Services (IAS/IPS) for managing user identities and access. Cloud Connector : Ability to configure and manage the Cloud Connector for hybrid scenarios. CI/CD pipelines : Experience in designing and implementing CI/CD pipelines for automated build, testing, and deployment. Git : Proficient in using Git for version control and collaborative development. SAP Build Apps : Experience in developing applications using SAP Build Apps , including Logic flows & data modeling and UI/UX configuration . Role-based access configuration : Ability to configure role-based access controls to ensure data security and compliance. Mobile/web deployment : Experience in deploying applications to mobile and web environments. OData services : Understanding of OData services for data integration and exchange. REST APIs : Experience working with REST APIs for application integration. CDS exposure (consumption) : Ability to consume CDS (Core Data Services) for data access. ABAP : Familiarity with ABAP programming for custom development and integration. SAP Integration Suite : Experience with SAP Integration Suite for integration scenarios. OAuth2, SAML : Knowledge of OAuth2 and SAML for secure authentication and authorization. Certificates : Ability to manage and configure Certificates for secure communication. Event Mesh : Understanding of Event Mesh for event-driven integration. Build Apps development standards : Adherence to Build Apps development standards for code quality and maintainability. Application stability : Focus on ensuring application stability and performance. Technical documentation : Ability to create clear and concise technical documentation . Operational runbooks : Experience in developing operational runbooks for incident response and troubleshooting. Audit, Compliance, Security standards : Understanding of audit , compliance , and security standards . Clean-core extensibility concepts : Knowledge of Clean-core extensibility concepts . CAP (Cloud Application Programming Model) : Experience with CAP (Cloud Application Programming Model) . S/4HANA business processes : Understanding of S/4HANA business processes , including FI , MM , and SD . SLA : Ability to meet SLA requirements. Experience Required: The ideal candidate will possess 8-15 years of relevant experience in SAP development and integration, demonstrating a strong track record of delivering high-quality solutions. What We Offer Salary: 30 LPA

Dyno Test Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a Dyno Test Engineer to join our team in Magarpatta, Pune. This role will be responsible for operating and maintaining dyno and test systems, conducting performance and durability testing, and ensuring the quality and reliability of our products. This is an excellent opportunity for a motivated individual to contribute to a dynamic and growing organization within the Aerospace industry. Key Responsibilities The Dyno Test Engineer will be responsible for a range of tasks related to dyno testing and system maintenance. This includes, but is not limited to, the operation and setup of dynamometers, execution of load profiles, and the performance of various tests to evaluate motor and inverter performance and durability. The role also involves troubleshooting test stand issues, performing root cause analysis, and ensuring adherence to quality management systems and safety protocols. Required Skills & Qualifications Education: A Diploma in Electrical, Electronics, Mechatronics, Mechanical, or a related engineering discipline is required. Dyno & Test Systems: Demonstrated proficiency in the operation and setup of dyno and test systems, including dynamometer operation. Motor and Inverter Testing: Experience with motor and inverter testing methodologies, including performance and durability testing. Load Profile Execution: Ability to execute load profiles accurately and efficiently. Test Automation Systems: Familiarity with test automation systems and their application in testing environments. Data Acquisition Systems (DAQ): Strong understanding of data acquisition systems and their role in data collection and analysis. Electrical Knowledge: A solid foundation in electrical principles, including knowledge of AC/DC motors, BLDC, PMSM, and Induction Motors. Motor Controllers & Inverters: Understanding of motor controllers and inverters, and their role in motor operation. Power Electronics Fundamentals: A working knowledge of power electronics fundamentals. Safety Practices: Strict adherence to high-voltage safety practices and electrical safety protocols. Electrical Measurements & Instrumentation: Proficiency in performing electrical measurements and utilizing various instrumentation techniques. This includes experience with Torque transducers, Speed encoders, Thermocouples, RTDs, Current probes, and Voltage measurement systems. Troubleshooting Skills: Excellent troubleshooting skills, including electrical fault finding and sensor diagnosis. Test Stand Debugging: Ability to effectively debug test stand issues and perform wiring verification. Hardware Integration: Experience in identifying and resolving hardware integration issues. Root Cause Analysis: Ability to perform root cause analysis using methodologies such as 8D, Fishbone, and 5Why. Other Skills: Including Harness preparation, Crimping, Wiring, Connector assembly, Soldering, Desoldering activities, PCBA rework, Repair, SMT, Through-hole components, Component replacement, Soldering/de-soldering techniques, Wire harness preparation, Cable assembly, Test setup preparation, Laboratory equipment configuration. Analytical Skills: Strong analytical skills for data interpretation and problem-solving. Technical Documentation & Report Writing: Ability to create clear and concise technical documentation and reports. ESD Controls & Lab Compliance: Knowledge of ESD controls and lab compliance practices. Data Acquisition Systems: Experience with data acquisition systems, including LabVIEW and NI DAQ systems . CAN Communication: Familiarity with CANanalyzer and CANoe for CAN communication analysis. Data Analysis: Proficiency in Excel data analysis and data logging techniques. Software: Basic software skills for instrumentation interfaces and hands-on experience. Quality Management System: Understanding of quality management system principles. Experience: This position requires no prior experience. We welcome candidates who are eager to learn and develop their skills in a dynamic environment. What We Offer Salary:

Robotic Simulation

SACHA Engineering•

Remote

•Full-time

Job Summary We are seeking a skilled Robotic Simulation professional to join our Manufacturing team. This role will focus on the simulation and optimization of robotic processes within our manufacturing environment. The ideal candidate will possess a strong understanding of robotic principles, simulation techniques, and manufacturing processes. Key Responsibilities This role will be responsible for a range of tasks related to robotic simulation, including the creation of simulation reports, program generation and optimization, and ensuring robot safety. The role will also require independent work and coordination with cross-functional teams to finalize layouts and validate tooling. Required Skills & Qualifications BIW Simulation : Demonstrated proficiency in simulating Body-in-White (BIW) processes using simulation software. BIW Manufacturing Processes : A thorough understanding of BIW manufacturing processes and their impact on robotic operations. Cell Building : Experience in the design and simulation of robotic workcells. Tool Validation : Ability to validate tooling designs through simulation to ensure optimal robotic performance. Robot Reachability : Expertise in analyzing robot reachability to ensure efficient and effective robotic operations. Robot Accessibility Analysis : Ability to perform accessibility analysis to identify and mitigate potential limitations in robotic workspace. Collision-Free Robotic Operations : Ability to design and simulate collision-free robotic operations. Cycle-Time Creation : Experience in creating accurate and efficient cycle times for robotic processes. Cycle-Time Optimization : Ability to optimize cycle times through simulation and process adjustments. Layout Finalization : Experience in finalizing layouts to ensure optimal robotic performance and safety. Robot Safety Concepts : A strong understanding of robot safety concepts and their application in manufacturing environments. Robot Safety Devices : Familiarity with various robot safety devices and their implementation. OLP : Experience with OLP (Offline Programming) software. Program Generation : Ability to generate robotic programs based on simulation results. Program Optimization : Ability to optimize robotic programs for efficiency and performance. Simulation Reports : Ability to create comprehensive and informative simulation reports. Documentation : Strong documentation skills to clearly communicate simulation results and findings. Independent Work : Ability to work independently and manage time effectively. Coordination with Cross-Functional Teams : Excellent communication and collaboration skills to work effectively with cross-functional teams. Analytical Skills : Strong analytical skills to interpret simulation data and identify areas for improvement. Problem-Solving Skills : Proven problem-solving skills to address challenges and implement solutions. Communication Skills : Excellent written and verbal communication skills to effectively communicate with stakeholders. Experience Required: The ideal candidate will have 2 - 6 years of experience in a related field. This level of experience indicates a level of proficiency and the ability to work with minimal supervision. What We Offer Salary:

Software System Engineer

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a Software System Engineer to join our team in Bangalore. This role will focus on the design, development, and validation of system-level software solutions within the IT / Technology industry. Key Responsibilities The Software System Engineer will be responsible for a range of tasks related to system design, analysis, and documentation. This includes participating in requirements, design, and architecture reviews to ensure the quality and integrity of our systems. Required Skills & Qualifications Software System Engineering: Demonstrated ability to apply software system engineering principles to complex systems, ensuring robust and reliable performance. PID Control: Proficiency in the design and implementation of Proportional-Integral-Derivative (PID) control systems for precise control of various parameters. MATLAB: Experience utilizing MATLAB for modeling, simulation, and analysis of control systems. Simulink: Familiarity with Simulink for creating and simulating dynamic systems. Control Design: Ability to design and implement effective control strategies to meet specific performance requirements. Calibration: Experience with calibration techniques to ensure accurate system performance. System-Level Software: Understanding of system-level software development principles and practices. Thermal Print Mechanisms: Knowledge of thermal print mechanisms and their integration into larger systems. Force/Pressure Control: Experience in designing and implementing control systems for force and pressure regulation. High-Speed Media Transport: Understanding of high-speed media transport systems and their control requirements. Motor Torque-Speed Characteristics: Ability to analyze and utilize motor torque-speed characteristics in system design. Requirements Review: Ability to participate in and contribute to thorough requirements review processes. Design Review: Ability to participate in and contribute to thorough design review processes. Architecture Review: Ability to participate in and contribute to thorough architecture review processes. FMEA: Experience with Failure Mode and Effects Analysis ( FMEA ) to identify and mitigate potential system failures. Defect Prevention: Ability to proactively identify and implement measures to prevent defects in system design and implementation. Analytical Skills: Strong analytical skills to effectively analyze complex systems and identify potential issues. Problem-Solving Skills: Excellent problem-solving skills to address and resolve system-related challenges. Technical Documentation: Ability to create clear, concise, and comprehensive technical documentation. Communication Skills: Strong communication skills to effectively convey technical information to both technical and non-technical audiences. Python: Proficiency in Python for scripting, data analysis, and automation. Data Analysis: Ability to perform data analysis to identify trends, patterns, and insights. Sensor Feedback: Experience with utilizing sensor feedback for system control and optimization. Education: Bachelor’s or Master’s degree in Software Engineering, Systems Engineering, Control Engineering, Electrical Engineering, Mechatronics, or a related field. The ideal candidate will possess a strong foundation in engineering principles and a passion for solving complex problems. No prior experience is required. What We Offer Salary is not provided.

Hardware Design Engineer

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and motivated Hardware Design Engineer to join our growing team. This role will be responsible for the design and development of hardware solutions, contributing to the advancement of our technology within the Technology industry. Key Responsibilities The Hardware Design Engineer will be responsible for a range of tasks related to hardware design and development, including schematic capture, PCB layout design, functional testing, and root cause analysis (RCA). They will also contribute to documentation and ensure designs are suitable for manufacturing. Required Skills & Qualifications The ideal candidate will possess a strong foundation in electrical engineering principles and a proven ability to design and implement complex hardware systems. The following skills and qualifications are essential: Electrical Engineering : A deep understanding of electrical engineering principles, including circuit theory, signal processing, and power electronics. Hardware Engineering : Demonstrated experience in the full hardware design lifecycle, from concept to production. Schematic Capture : Proficiency in creating detailed and accurate schematics using industry-standard software. PCB Layout Design : Expertise in designing printed circuit boards ( PCB ) that meet performance, manufacturability, and cost requirements. Wireless Communication Technologies : Familiarity with wireless communication protocols including LTE , Wi-Fi , GNSS , and BLE . Memory Technologies : Knowledge of Non-Volatile Memory technologies and their application in embedded systems. Communication Protocols : Experience with various communication protocols such as CAN , RS-485 , SPI , and I2C . Power Electronics : Understanding of Relays and Power Supply Circuits design and implementation. Micro-Controller Design : Experience in designing and integrating Micro-Controllers into hardware systems. Sensor Integration : Ability to design and implement Sensing Circuits for various applications. Vehicle Control Systems : Familiarity with VCU (Vehicle Control Unit) and BMS (Battery Management System) concepts. Power Systems : Experience with Chargers , Power-Train , and related power electronics. Automotive Systems : Knowledge of Instrument Clusters and their associated hardware requirements. Functional Testing : Ability to develop and execute comprehensive functional tests to validate hardware designs. Root Cause Analysis (RCA) : Proven ability to perform thorough RCA to identify and resolve hardware issues. Circuit Simulation : Proficiency in using Circuit Simulation tools to analyze and optimize circuit performance. Documentation : Excellent written and verbal communication skills with the ability to create clear and concise technical documentation. Testing : Experience with various testing methodologies and equipment. Manufacturing : Understanding of manufacturing processes and their impact on hardware design. Problem-Solving Skills : Strong analytical and Problem-Solving Skills to effectively address complex hardware challenges. Analytical Skills : Ability to apply Analytical Skills to evaluate designs and identify potential issues. Qualifications : A B.E./B.Tech/B.Sc or M.E./M.Tech/M.Sc in Electrical Engineering is required. Experience Required : We are seeking a candidate with 9-10 years of relevant experience in hardware design and development. This level of experience indicates a senior-level role with expectations of independent work, mentorship, and technical leadership. What We Offer Salary :

Software System Engineer

RLE India Private Limited•

Remote

•Full-time

Software System Engineer Job Description Job Summary We are seeking a highly skilled and experienced Software System Engineer to join our team in Bangalore. This role will focus on the design, development, and validation of system-level software control functions for our technology products. Key Responsibilities The Software System Engineer will be responsible for a range of tasks including the development of control strategies, calibration of systems, and the creation of comprehensive technical documentation. The role requires a strong analytical approach to problem-solving and the ability to effectively communicate technical information. Required Skills & Qualifications Software System Engineering : Demonstrated proficiency in software system engineering principles and practices, with a focus on real-time and embedded systems. PID Control : Deep understanding of Proportional-Integral-Derivative (PID) control theory and practical application. MATLAB : Expertise in using MATLAB for modeling, simulation, and analysis of control systems. Simulink : Proficiency in utilizing Simulink for system simulation and control system design. Control Strategies : Ability to develop and implement effective control strategies for complex systems. Calibration : Experience with system calibration techniques and methodologies. System-Level Software Control Functions : Ability to design and implement system-level software control functions. Real-Time Software : Knowledge of real-time software development principles and practices. Embedded Control : Experience in embedded control systems design and implementation. Data Analysis : Strong data analysis skills, including the ability to interpret data and draw meaningful conclusions. FMEA : Familiarity with Failure Mode and Effects Analysis ( FMEA ) methodologies. Analytical Skills : Exceptional analytical skills with the ability to identify and resolve complex technical issues. Problem-Solving Skills : Proven problem-solving skills with a systematic and detail-oriented approach. Technical Documentation : Ability to create clear, concise, and comprehensive technical documentation. Communication Skills : Excellent written and verbal communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. Python : Proficiency in Python for scripting and data analysis. Sensor Feedback : Understanding of sensor feedback systems and their integration into control systems. Education : Bachelor’s or Master’s degree in Software Engineering, Systems Engineering, Control Engineering, Electrical Engineering, Mechatronics, or a related field. Experience : 10-15 years of relevant experience in software system engineering, demonstrating a strong track record of success in designing and implementing complex control systems. This level of experience indicates a senior-level role requiring independent work and mentorship capabilities. What We Offer Salary:

Machine Learning Engineer

SACHA Engineering•

Chennai

•Full-time

Machine Learning Engineer Job Description Job Summary We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and pipelines. This includes collaborating with cross-functional teams to identify and solve complex business problems using data-driven solutions. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques. Scikit-learn : Proficiency in utilizing Scikit-learn for model building, evaluation, and selection. PyTorch : Experience with PyTorch for deep learning model development and training. TensorFlow : Familiarity with TensorFlow for building and deploying large-scale machine learning models. LLM : Knowledge of Large Language Models (LLMs) and their applications. ETL : Experience with Extract, Transform, Load ( ETL ) processes for data preparation and integration. Big Query : Ability to work with Big Query for data warehousing and querying. Data Flow : Understanding of Data Flow concepts and their application in data processing. Python : Strong programming skills in Python for data analysis, machine learning, and scripting. Airflow : Experience with Airflow for orchestrating and scheduling data pipelines. PySpark : Proficiency in PySpark for distributed data processing and machine learning. SQL : Expertise in SQL for data querying and manipulation. GCS : Familiarity with Google Cloud Storage ( GCS ) for data storage and management. GitHub : Experience using GitHub for version control and collaboration. CI/CD : Knowledge of Continuous Integration and Continuous Deployment ( CI/CD ) practices. Dynatrace : Experience with Dynatrace for application performance monitoring. Analytical Skills : Exceptional analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions. Software Engineering : Solid foundation in software engineering principles and best practices. Design Practices : Understanding of software design patterns and principles. Documentation : Ability to create clear and concise technical documentation. DevOps : Familiarity with DevOps methodologies and tools. Pair Programming : Experience with Pair Programming techniques for collaborative development. TDD : Knowledge of Test-Driven Development ( TDD ) principles. Agile Ceremonies : Experience participating in Agile Ceremonies . PI Planning : Understanding of PI Planning within an Agile framework. Experience Required: 4 - 10 years of relevant experience. We are seeking a candidate with a proven track record of building and deploying machine learning solutions. This level of experience should demonstrate a strong understanding of the entire machine learning lifecycle, from data collection and preparation to model deployment and monitoring. What We Offer Salary:

Technical Program & Project Management Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a Technical Program & Project Management Senior Associate to join our IT / Technology team. This role will focus on managing and coordinating technical programs and projects, ensuring successful delivery and alignment with business objectives. This position requires a blend of technical understanding, strong organizational skills, and the ability to effectively communicate with stakeholders. Key Responsibilities The Technical Program & Project Management Senior Associate will be responsible for the planning, execution, and closure of technical programs and projects. This includes managing timelines, resources, and risks to ensure projects are completed on time and within budget. The role will also involve collaborating with cross-functional teams to achieve common goals and delivering high-quality results. Required Skills & Qualifications Project Management: Demonstrated ability to manage projects from initiation to completion, utilizing established methodologies and best practices. Info Sys Admin: Understanding of information systems administration principles and practices. Network Architecture: Knowledge of network architecture principles and design. Infrastructure Architectures: Familiarity with various infrastructure architectures and their implementation. Program Manage PM's & Projects: Experience in managing programs comprised of multiple projects and project managers. Project Documentation: Proficient in creating and maintaining comprehensive project documentation, including project plans, status reports, and risk assessments. Windows Servers: Working knowledge of Windows Servers and their administration. LAN/WAN: Understanding of Local Area Networks (LANs) and Wide Area Networks (WANs). Network - Convergence Technology (Video/Voice): Familiarity with network convergence technologies, including video and voice communication systems. Cyber Security: Basic understanding of Cyber Security principles and best practices. Agile: Experience with Agile project management methodologies. Waterfall: Experience with Waterfall project management methodologies. Analytical Skills: Strong analytical skills to assess complex situations, identify root causes, and develop effective solutions. Problem-Solving Skills: Proven ability to identify and resolve problems effectively and efficiently. Communication Skills: Excellent written and verbal communication skills to effectively communicate with stakeholders at all levels. Education: Bachelor's Degree required. Experience: 4 - 5 years of relevant experience in a technical program or project management role. This level of experience indicates a seasoned professional capable of independently managing projects and providing guidance to others. What We Offer Salary:

Machine Learning Engineering Engineer 2

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Machine Learning Engineering Engineer 2 to join our growing team. This role is ideal for an individual with a strong foundation in machine learning principles and a passion for building and deploying innovative solutions within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass a range of tasks related to the development, implementation, and maintenance of machine learning models and pipelines. The candidate will collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into our existing infrastructure. Required Skills & Qualifications AI/ML: Demonstrated proficiency in Artificial Intelligence and Machine Learning concepts, including model selection, training, evaluation, and deployment. Scikit-learn: Experience utilizing Scikit-learn for various machine learning tasks, including data preprocessing, model selection, and evaluation. PyTorch: Familiarity with PyTorch , a widely used deep learning framework, for building and training complex neural networks. TensorFlow: Experience with TensorFlow , another popular deep learning framework, for developing and deploying machine learning models at scale. LLM: Understanding of Large Language Models ( LLM ) and their applications. ETL: Knowledge of ETL (Extract, Transform, Load) processes for data preparation and integration. Big Query: Experience with BigQuery for querying and analyzing large datasets. Data Flow: Familiarity with Data Flow for building and managing data processing pipelines. Python: Strong programming skills in Python , a versatile language widely used in machine learning. Airflow: Experience with Airflow for orchestrating and scheduling complex data workflows. PySpark: Proficiency in PySpark for distributed data processing and machine learning. SQL: Solid understanding of SQL for data querying and manipulation. GCS: Experience with GCS (Google Cloud Storage) for storing and managing data in the cloud. GitHub: Familiarity with GitHub for version control and collaborative development. CI/CD: Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles and practices. Dynatrace: Experience with Dynatrace for application performance monitoring. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret data and draw meaningful conclusions. Software Engineering: Solid foundation in Software Engineering principles and best practices. Design Practices: Knowledge of software design patterns and principles. Documentation: Ability to create clear and concise technical documentation. DevOps: Understanding of DevOps methodologies and practices. Pair Programming: Experience with Pair Programming techniques for collaborative code development. TDD: Familiarity with TDD (Test-Driven Development) methodologies. Agile: Experience working within an Agile development environment. Education: Bachelor's Degree required. Experience: 1 - 4 years of relevant experience. This level is expected to be a mid-level contributor, capable of working independently and contributing to team goals. 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.