Job Description for the Role of ERP Data Migration Specialist Apply About the Role: We are seeking an experienced ERP Data Migration Specialist to lead the critical process of transferring data from our legacy ERP system to our new ERP platform. The ideal candidate will have a strong background in data management, ERP systems, and project execution. Roles and Responsibilities: Develop and execute a comprehensive data migration strategy, including planning, extraction, cleansing, transformation, and loading of data Perform data mapping between the old and new ERP systems, ensuring accurate translation of data structures Analyze existing data for redundancies, inconsistencies, and quality issues2 Collaborate with cross-functional teams to identify critical data for migration and determine data retention policies Implement data quality assurance processes to validate accuracy, completeness, and consistency during and after migration Develop and manage ETL (Extract, Transform, Load) processes for efficient data transfer Conduct thorough testing of migrated data to ensure integrity and functionality in the new system Provide regular updates to stakeholders on migration progress and address any issues that arise Bachelor's degree in Computer Science, Information Systems, or related field 5+ years of experience in ERP data migration, preferably with both legacy and modern ERP systems Strong knowledge of data management principles, ETL processes, and database structures Proficiency in SQL and experience with data migration tools Excellent analytical and problem-solving skills Strong communication abilities to interact with both technical and non-technical stakeholders Experience with data governance and compliance requirements Certification in relevant ERP systems (e. g. , SAP, Oracle, Microsoft Dynamics) Experience with cloud-based ERP migrations Knowledge of industry-specific data requirements, particularly in manufacturingor finance Familiarity with data visualization tools for reporting and analysis The successful candidate will play a crucial role in ensuring a smooth transition to our new ERP system, minimizing disruption to business operations while maximizing data integrity and usability

Job Description for the Role of Graphic Designer Apply About the Role: We are looking for a talented and experienced Graphic Designer to join our team. The ideal candidate will have 4-5 years of hands-on experience and a strong portfolio demonstrating creativity and technical expertise. Key Responsibilities: Design and develop visual content for online campaigns, print ads, websites, motion graphics, and videos. Create visually appealing graphics, illustrations, and layouts for both digital and print media. Shape the visual aspects of presentations, case studies, books, magazines, and product packaging. Collaborate with cross-functional teams to conceptualize and execute design elements that align with brand guidelines. Work on various digital media formats tailored for our social media platforms (Instagram, Facebook, LinkedIn, YouTube, etc. ). Stay updated with industry trends, design techniques, and emerging technologies to continuously enhance design quality. Edit and produce high-quality videos for various digital platforms. Requirements:

Job Description for the Role of Senior Data Engineer - Azure, Databricks, and MongoDB Apply About the Role: We are looking for a highly skilled and experienced Senior Data Engineer to join our growing team. The ideal candidate will have extensive experience in building and optimizing data pipelines , working with cloud technologies such as Azure Data Factory, MongoDB, and Databricks , and designing scalable data architecture . As a Senior Data Engineer , you will be responsible for ensuring the performance, scalability, and reliability of our data infrastructure while collaborating with cross-functional teams to implement innovative data solutions . Roles and Responsibilities: Data Pipeline Development & Optimization: Design, develop, and maintain scalable and efficient data pipelines using Azure Data Factory MongoDB Databricks Other relevant tools Implement end-to-end ETL (Extract, Transform, Load) processes, ensuring data is correctly transformed, loaded and optimized for downstream analytics. Manage large datasets , working with structured, semi-structured, and unstructured data . Monitor and optimize data pipeline performance to ensure timely and accurate data delivery. Data Architecture & Cloud Solutions: Collaborate with data architects and stakeholders to build robust and flexible data models and architectures . Build and maintain cloud-based data solutions using Azure services , ensuring scalability, security, and high availability . Work closely with data teams to ensure data quality, consistency, and integrity across various systems.

Job Description for the Role of ERP Business Analyst - Finance Module Apply About the Role: We are seeking an experienced ERP Business Analyst to join our team and lead the development and implementation of the finance module for our Enterprise Resource Planning (ERP) system. The ideal candidate will have a strong background in finance and accounting processes, coupled with expertise in ERP systems and business analysis. Roles and Responsibilities: Analyze and document current financial processes and workflows Gather and translate business requirements into functional specifications for the ERP finance module Collaborate with stakeholders to design and configure financial components including General Ledger, Accounts Payable, Accounts Receivable, and Fixed Assets Conduct gap analysis between business needs and ERP system capabilities Develop and maintain a prioritized backlog of user stories for implementation Work closely with IT teams to ensure proper integration of the finance module with other ERP components Perform financial analyses, reconciliations, and assist with general accounting duties Design and develop custom financial reports using ERP tools Lead and participate in testing of new or modified financial functionalities Provide technical support and training to finance team members on ERP usage Bachelor's degree in Finance, Accounting, or related field; MBA or relevant master's degree preferred 5+ years of experience as an ERP Business Analyst, with a focus on finance modules Strong knowledge of financial processes, accounting principles, and regulatory requirements Proficiency in ERP systems such as Odoo, Dynamics, SAP, Oracle, or Microsoft Dynamics Experience with ERP implementation methodologies (e. g. , Waterfall, Agile) Excellent analytical and problem-solving skills Strong communication and interpersonal abilities to work effectively with both technical and non-technical stakeholders Proficiency in SQL for data querying and manipulation within ERP databases Experience with data migration and integration techniques in ERP environments Certification in relevant ERP systems or business analysis (e. g. , CBAP, SAP certification) Knowledge of financial industry standards and compliance requirements Experience with cloud-based ERP solutions and SaaS models Familiarity with business intelligence and data visualization tools The successful candidate will play a crucial role in optimizing our financial processes through effective ERP implementation, ensuring data integrity, and driving efficiency across the organization's financial operations

Job Description for the Role of Senior Data Platform Architect - AI-Driven Oil & Gas Analytics Solutions Apply About the Role: We are seeking an experienced and highly skilled Senior Data Platform Architect to design and implement robust, scalable data platforms that support AI-powered business analytics solutions for the oil and gas industry. This role requires expertise in Azure-based data architectures , strong data engineering skills, and a proven track record of delivering production-grade platforms . The ideal candidate will have exceptional communication skills to effectively collaborate with technical teams and business stakeholders , ensuring alignment between platform capabilities and business objectives. Roles and Responsibilities: Platform Design and Architecture: Design and architect end-to-end data platforms leveraging Azure ecosystem tools , including: Azure Data Factory Azure Synapse Azure Data Lake MongoDB Databricks Define the platform architecture to support advanced analytics, machine learning, and AI-driven solutions tailored to the oil and gas industry. Ensure the platform is scalable, secure, and optimized for performance , supporting both real-time and batch processing . Data Engineering Leadership: Oversee data ingestion, transformation, and processing pipelines , ensuring data quality and governance, including Cognite Data Fusion. Collaborate with data engineering teams to implement best practices and optimize workflows.

Job Description for Web Developer Apply About the Role: We are seeking a skilled Web Developer to design, build, and maintain websites for our company. The ideal candidate will be responsible for the overall appearance, functionality, and technical aspects of websites, ensuring they meet user expectations and business requirements Responsibilities: Design, build, and maintain websites using standard HTML/CSS practices and other relevant coding languages. Write well-designed, efficient, and testable code using best software development practices. Create website layouts and user interfaces that provide optimal user experience. Integrate data from various back-end services and databases. Implement responsive design for mobile devices. Collaborate with web designers and other team members to produce the website. Optimize websites for maximum speed and scalability. Ensure cross-browser compatibility and debug any issues. Conduct website testing and quality assurance. Stay updated with emerging technologies and industry trends. Perform regular website updates and maintenance. Implement security and data protection measures. Create and maintain software documentation. Collaborate with stakeholders to gather requirements and determine project scopes. Requirements: Proven experience as a Web Developer or in a similar role. Proficiency in HTML, CSS, JavaScript, and at least one server-side programming language (e. g. , PHP, Python, Java). Familiarity with front-end frameworks (e. g. , React, Angular, Vue. js). Experience with responsive and adaptive design. Understanding of server-side CSS preprocessors (e. g. , SASS, LESS). Knowledge of code versioning tools (e. g. , Git). Familiarity with database technology (e. g. , MySQL, MongoDB). Understanding of web standards and best practices. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelors degree in Computer Science, Web Development, or a related field (or equivalent experience). Preferred Qualifications: Experience with content management systems (e. g. , WordPress, Drupal). Knowledge of SEO principles. Familiarity with UI/UX design principles. Experience with e-commerce platforms. Understanding of web security and performance optimization techniques.

Job Description for Machine Learning Engineer Apply About the Role: As a machine learning engineer, a large portion of your time and energy will be focused on a cross-functional team building scientific models for the modern era. The organizations that you collaborate with will range from high tech, global life sciences companies to leading research institutions. You will be a vital part of a world-class team that combines the product design and engineering expertise of the world s top software companies with the scientific expertise of the world s top research institutions. You ll be providing technical feasibility assessments to the Product Manager and Designer to ensure that we can build what we say we re going to build. Machine Learning Engineers at Attinad Technologies work on a variety of problems, connecting our customers desired outcomes to concrete deliverables. Every project is different, from reinforcement learning to computer vision, and you ll experience a breadth of industries. Our teams are highly collaborative, and you ll work closely with customers, data and software engineers, and product managers. We are highly collaborative, oriented towards building and learning, and keenly aware of the responsibility of helping our customers deploy software products for real end users. This opening is for Machine Learning Engineers of all levels, and our interview process will evaluate your background and experience to assess your current level and enable you to be successful in your role here. Responsibilities: You will have a high degree of autonomy as you work with a nimble, growing team, but some core responsibilities may look like the following. Engage with our customers to understand the challenges they are facing, and work with them to produce a strategy and execution plan for their AI goals. Define the work that you and other members of your team will execute on, and be able to break down and organize the work appropriately. Build and design machine learning pipelines, both consolidating existing databases and building new databases using tools like Python, AWS, SQL, MLFlow, PyTorch, Spark, and more. Create design documents that lead to MVPs, and continue iterating on the MVPs into fully developed products. Choose machine learning models and evaluate performance in production. Expose your machine learning predictions through APIs and Applications developed with other team members. Share your knowledge with other team members. Learn about new areas of machine learning and other parts of our product development stack as suits your career goals. Senior Software Engineer - Big Data

Job Description for Computer Vision Data Science Engineer Role Apply About the Role: We are seeking an experienced Data Science Engineer specializing in computer vision to join our innovative team. The ideal candidate will have a strong background in developing and implementing advanced computer vision solutions, with particular expertise in number plate recognition, face recognition, YOLO object detection, and NVIDIA DeepStream. Responsibilities: Design, develop, and optimize computer vision algorithms for real-time video analytics Implement and fine-tune deep learning models for object detection, face recognition, and number plate recognition Utilize YOLO (You Only Look Once) architecture for efficient object detection in video streams Leverage NVIDIA DeepStream SDK to build and deploy AI-powered video analytics applications Collaborate with cross-functional teams to integrate computer vision solutions into existing systems Conduct performance analysis and optimization of computer vision models Stay current with the latest advancements in computer vision and deep learning technologies Requirements: Masters or Ph. D. in Computer Science, Data Science, or related field 3+ years of experience in computer vision and deep learning Proven experience with number plate recognition and face recognition systems Strong proficiency in YOLO object detection framework Hands-on experience with NVIDIA DeepStream SDK Expertise in Python and relevant computer vision libraries (OpenCV, TensorFlow, PyTorch) Experience with GPU acceleration and optimization techniques Solid understanding of machine learning principles and statistical analysis Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Preferred Qualifications: Experience with edge computing and embedded systems for computer vision Familiarity with video compression techniques and streaming protocols Knowledge of privacy-preserving machine learning techniques Experience with cloud-based deployment of computer vision models Contributions to open-source computer vision projects