3 Data Structures Jobs nearby Mysore

As a Software Developer at Bluemind Solutions, you will play a crucial role in developing high-quality software and REST APIs. Your responsibilities will include analyzing and maintaining existing codebases, designing scalable and testable code, identifying and fixing bugs and performance issues, as well as creating and maintaining comprehensive documentation. Key Responsibilities: - Develop high-quality software and REST APIs - Analyze and maintain existing codebases - Design scalable and testable code - Identify and fix bugs and performance issues - Create and maintain comprehensive documentation Qualifications Required: - Proficiency in at least one programming language (e.g., Java, Python, JavaScript, etc) - Familiarity with mobile platforms (Android, iOS) - Strong problem-solving and communication skills - Good understanding of Object-Oriented Principles (OOP), IT concepts, and terminologies - Basic knowledge of Data Structures and Algorithms - 0-2 years of experience If you join Bluemind Solutions, you will be working with the following tech stack: - Frontend: Flutter, Angular - Backend: Node.js, Express.js - Database: Neo4j, Firestore - Search & Recommendation Engine: Solr, Neo4j - Cloud & DevOps: GCP, Docker, K8s, GitHub CI/CD Location: Mysuru Work Mode: 5 days Work From Office (WFO) If you are passionate about software development and want to be part of a dynamic team, apply now or reach out to us at hr@bluemindz.com!,

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

As an Inside Sales Engineer in the Pre-Engineered Buildings (PEB) division, your role involves supporting the sales process through technical and commercial activities. You will be responsible for preparing proposals, coordinating with clients, and assisting field sales and design teams. Key Responsibilities: - Handle customer inquiries related to PEB structures, roofing systems, and steel building solutions. - Prepare technical and commercial quotations based on design inputs and project requirements. - Coordinate with design, estimation, and production teams for costing, feasibility, and delivery schedules. - Maintain effective communication with clients and follow up on quotations to convert leads into orders. - Assist field sales engineers in technical documentation and project coordination. - Keep accurate records of all client interactions and maintain CRM data. - Research and analyze market trends to identify new opportunities in the PEB sector. - Support marketing and tendering activities as required. Required Skills & Competencies: - Good understanding of steel structures, fabrication, and PEB systems. - Strong communication and presentation skills. - Ability to read technical drawings and interpret engineering data. - Proficiency in MS Office, AutoCAD (basic), and CRM tools. - Excellent coordination and organizational skills. - Self-motivated with a results-driven approach. Preferred Background: - 12 years of experience in PEB, steel structures, or industrial construction sales. - Experience in preparing BOQs, estimates, and technical proposals. In addition to a competitive salary package, this role offers performance-based incentives and opportunities for career growth.,

Your Role As a WLAN Host Development Engineer at Capgemini, you will be part of a dynamic Wireless R&D team focused on building high-performance WLAN solutions. You will work with Real-Time Operating Systems (RTOS) and networking protocols to develop robust software modules and drivers that enable seamless wireless communication. Your contributions will be key to enhancing system reliability, performance, and scalability. In this role, you will: Design, develop, and maintain RTOS-based software modules for WLAN solutions. Implement and optimize synchronization methods, process/thread management, memory management, and IPC mechanisms within RTOS environments. Develop and integrate peripheral drivers (e.g., SPI, UART, SDIO, PCIe) in an OS context. Contribute to transport-level flow control mechanisms and ensure robust data transfer across interfaces. Collaborate with distributed teams to deliver high-quality software solutions. Apply protocol knowledge (preferably IEEE 802.11 or other networking protocols) to enhance WLAN system performance and reliability. Independently drive tasks and deliverables, demonstrating strong ownership and accountability. Communicate effectively with cross-functional teams and stakeholders. Your Profile 45 years of experience in RTOS-based software development, preferably in WLAN systems. Strong hands-on experience with RTOS platforms such as Zephyr, Free RTOS, or QNX. Solid understanding of operating system fundamentals including synchronization, process/thread management, memory management, and IPC. Experience designing and implementing peripheral drivers (SPI/UART/SDIO/PCIe) in an OS environment. Exposure to transport-level flow control mechanisms. Protocol knowledge in IEEE 802.11 or other networking protocols. Proven ability to work independently and collaborate with distributed teams. Bachelors or Masters degree in Computer Science, Electronics, or a related field. Experience with Qualcomm chipsets or WLAN system development is a plus. Excellent verbal and written communication skills.

Job Description We are seeking an experienced Data Modeler with 4 to 9 years of experience to join our team.The ideal candidate will be responsible for designing implementing and supporting data structures that ensure data integrity and facilitate accurate timely information retrieval. The Data Modeler will work closely with analysts architects and database developers to design datasets that align with business requirements and technical constraints. Responsibilities Design and implement data models to support business requirements ensuring consistency and integration across various data sources. Develop and maintain conceptual logical and physical data models optimizing them for performance scalability and ease of use. Collaborate with stakeholders to identify data requirements and translate them into technical specifications. Ensure data models align with the organizations data architecture and data governance standards. Design and implement data integration processes using ETL extract transform load tools and technologies ensuring data quality and completeness. Work with database administrators to ensure database designs support business needs and are optimized for performance. Maintain and update data dictionaries metadata repositories and data modeling documentation. Troubleshoot and resolve issues related to data quality integration and model design. Provide guidance and mentorship to junior team members as needed. Stay current with industry best practices and emerging trends in data modeling and data architecture. Requirements 2 to 5 years of experience in developing data pipelines and solutions using Azure Data Factory ADF Azure Synapse Analytics and Databricks Strong proficiency in SQL TSQL and familiarity with Azure SQL Database andor Azure Synapse Analytics SQL pools Experience with ADF pipeline orchestration and data ingestion from various sources such as databases APIs and file systems Knowledge of Spark and Databricks for data processing transformations and data analytics Familiarity with data modeling and schema design in Azure Synapse and Azure SQL Databases Understanding of data integration data warehousing and ETL concepts Proficiency in Azure cloud services and infrastructure particularly related to data processing and analytics Strong problemsolving and troubleshooting skills Qualifications Bachelors degree in Computer Science Information Technology or a related field 4 to 9 years of experience in data modeling data architecture or related areas Proficiency in data modeling tools such as ERStudio Erwin or similar Strong understanding of relational databases data warehousing concepts and SQL Experience with big data technologies and platforms Hadoop Spark NoSQL databases is a plus Strong analytical problemsolving and communication skills Ability to work collaboratively in a team environment and with crossfunctional stakeholders Experience in AgileScrum development environments is advantageous

Job Title: Senior Snowflake Data Developer Experience: 6 - 10 Years Location: Bangalore / Mumbai / Chennai / Pune Employment Type: Full-Time Job Description: We are looking for an experienced Senior Snowflake Data Developer with a strong background in data engineering, Snowflake implementation, and cloud-based data solutions. The ideal candidate will have hands-on experience with Snowflake, SQL, Python, and cloud platforms (AWS/Azure), along with excellent analytical and communication skills. Key Responsibilities: Lead and implement end-to-end Snowflake projects, including migration from traditional data warehouses or new implementations. Develop, optimize, and tune SQL and SnowSQL queries for performance and scalability. Apply data modelling principles and best practices for designing and maintaining data structures. Work extensively on AWS/Azure cloud platforms for data processing and integration. Utilize advanced Snowflake features including Data Masking, Tagging, SnowPipe, RBAC controls, Virtual Warehouse sizing, Zero Copy Clone, Data Sharing, Streams & Tasks, Time Travel, Secure Data Sharing, DMF, Iceberg Tables, Dynamic Tables, Micro Partitioning, and Query Profiler. Implement ETL/ELT integration, data ingestion, conversion, and migration workflows. Develop and maintain scripts using Python and PySpark. Collaborate with teams using Jira, Confluence, and Agile methodologies. Prepare and review technical documentation, specifications, and peer reviews. Ensure adherence to cloud best practices and organizational data standards. Good to Have: Snowflake Certification. Hands-on experience with DBT (Data Build Tool). Experience in preparing and reviewing functional and technical specification documents. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Client-facing experience with strong ownership and attention to detail. Immediate joiners will be preferred.

Role Overview: As a Data Scientist Associate at JPMorgan Chase within the Asset & Wealth Management, you will be an integral part of an agile team focused on enhancing, designing, and delivering data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. Your role within the data engineering team will involve executing data solutions through designing, developing, and technically troubleshooting multiple components within technical products, applications, or systems, while also gaining valuable skills and experience to progress in your career. Key Responsibilities: - Collaborate with all of JPMorgan's lines of business and functions to deliver software solutions. - Experiment, develop, and productionize high-quality machine learning models, services, and platforms to drive significant technology and business impact. - Design and implement highly scalable and reliable data processing pipelines, conduct analysis and insights to optimize business results. - Contribute to a team culture that values diversity, opportunity, inclusion, and respect. Qualification Required: - Formal training or certification in Data Science concepts and a minimum of 2 years of applied experience. - Strong programming skills with Python/Java or other equivalent languages. - Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics. - Expertise in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. - Familiarity with machine learning frameworks such as Tensorflow/Pytorch. - Proficiency in prompt engineering and experience in ETL data pipelines for both batch and real-time data processing, Data warehousing, NoSQL DB, and Elastic. - Knowledge of Cloud Technologies such as AWS/GCP/Azure and Kubernetes.,

Role Overview: You will be responsible for developing and maintaining web applications and distributed systems. Utilize your expertise in Python, data structures, databases, and algorithms to contribute to the success of projects. Collaborate with team members to create innovative solutions and ensure smooth functioning of network systems. Key Responsibilities: - Develop and maintain web applications using Python and Django. - Implement data structures and algorithms to enhance system efficiency. - Manage Unix/Linux administration tasks effectively. - Collaborate with team members to design and implement distributed systems. - Utilize strong analytical and communication skills to solve complex problems. Qualifications Required: - Graduation in Computer Science, Engineering, or related fields. - 1-3 years of work experience in a relevant role. - Good understanding of algorithmic and data structures principles. - Research-oriented mindset with the ability to quickly grasp new concepts. - Proficiency in Python, Unix/Linux administration, and Django. - Knowledge of web applications, distributed systems, and network systems.,

As a skilled and experienced Big Data Engineer, you will be responsible for building scalable data pipelines, managing data lakes, and optimizing large-scale data processing frameworks. Your role will involve: - Designing, developing, and maintaining scalable and efficient big data pipelines using PySpark and Spark. - Working with large datasets using Hadoop, Hive, and HDFS. - Developing data ingestion frameworks using Python and Spark to integrate structured and unstructured data from multiple sources. - Implementing data transformation, data validation, and data quality frameworks. - Optimizing performance of big data processing applications. - Working on cloud platforms (AWS) and managing data storage using S3. - Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders. - Ensuring best practices in data security, governance, and compliance are followed. You must have: - Strong programming skills in Python and Scala. - Hands-on experience with Hadoop, Hive, and Spark. - Experience with PySpark and distributed computing. - Proficiency in working with AWS cloud services, especially S3 & EMR. - Strong knowledge of data structures, algorithms, and problem-solving. - Good understanding of data architecture and ETL pipelines. It would be nice to have: - Exposure to AWS services like EMR, Lambda, Glue. - Experience with workflow orchestration tools like Airflow or Oozie. - Familiarity with DevOps practices, CI/CD pipelines. - Knowledge of data warehousing concepts and tools like Redshift or Snowflake. Qualifications: - Bachelors/Masters degree in Computer Science, Engineering, or a related field. - 6+ years of relevant experience in Big Data technologies.,

As an Analyst, Data Quality at Kenvue, your role is crucial in ensuring the quality, consistency, and integrity of data within Kenvue Operations. You will have the opportunity to work closely with various stakeholders to develop and implement data governance frameworks, policies, and procedures to maintain data standards across Functions. Your contribution will be essential in promoting a culture of data excellence within the organization. **Key Responsibilities:** - Coordinate with global and regional data stewards, business analysts, and business SMEs to define, develop, and maintain data quality rules and metadata. - Develop and implement data quality rules, thresholds, and standard metrics/quality expectations for data elements supporting critical business processes. - Drive data profiling, cleansing, and enrichment efforts to support Kenvue Operations" digital transformation. - Collate and review data quality requirements from data consumers and SMEs, ensuring completeness, timeliness, and accuracy specifications. - Ensure compliance with relevant data protection regulations such as GDPR and CCPA. - Conduct risk assessments and implement controls to protect sensitive data. - Define governance structure, policies, processes, and metrics to improve data quality and ownership. - Contribute to enhancing the in-house Data Quality framework with advanced capabilities. - Review existing data controls and recommend additional controls as per data strategy. **Qualification Required:** - Bachelor's degree in computer science, Data Analytics, Information Technology, or a related field. - 2-4 years of work experience in data management policy and issue management. - Strong knowledge of data-related policies and standards. - Ability to understand metadata, data lineages, and data definitions. - Experience in data analysis, business requirement gathering, dashboarding, and reporting with tools like Microsoft Azure, SQL, Python, and Power BI. - Experience in Data Quality & Governance, Digital Transformation, or similar domains. - Excellent communication skills. This is an exciting opportunity to work in a dynamic environment where your skills and expertise will be valued. If you are proactive, energetic, and enthusiastic about making an impact through data quality, we encourage you to apply and be part of our team at Kenvue.,

As an experienced candidate with over 5 years of experience in implementation, data management, or system integration, you should be well-versed in working with Snowflake or similar cloud data warehouse platforms. Your expertise should include architecting or collaborating on ELT technologies like DBT and data architectures. Strong SQL skills and familiarity with data transformation tools are essential for this role. Additionally, your background should cover experience with ETL processes, data validation techniques, and an understanding of HR data structures and relationships. Your analytical and problem-solving abilities should be top-notch, complemented by knowledge of programming languages like Python. Familiarity with data visualization tools, particularly Tableau, is a key requirement. Furthermore, you should have an understanding of API integration patterns and technologies, coupled with experience working with agile development methodologies.,

As a Technical Consultant/Developer CRM specializing in Azure Data Factory, your role will involve a deep understanding of CRM system architecture, cloud integration tools, and data flow management, with a preference for experience in the Insurance domain. You will be responsible for a wide range of key activities: - **Microsoft Dynamics CRM Development & Customization**: - Configure, customize, and extend Microsoft Dynamics CRM solutions to meet business requirements. - Develop plugins, workflows, and custom code to enhance CRM functionalities. - Collaborate with functional teams to gather requirements and design solutions in Dynamics CRM. - **Integration**: - Design and implement seamless integrations between Microsoft Dynamics CRM and various external systems. - Work with RESTful APIs, SOAP, and other integration protocols to integrate CRM with 3rd party applications. - Troubleshoot integration issues and optimize data flows for accuracy and performance. - **Azure Data Factory (ADF)**: - Use Azure Data Factory to design and implement data pipelines across Dynamics CRM, Azure, and other systems. - Develop automated data workflows and ETL processes for large data volumes. - Optimize ADF pipelines for performance, cost-efficiency, and scalability. - Monitor and maintain data flows for consistency and reliability. - **Data Modeling & Data Management**: - Create data models to support CRM reporting, analytics, and operational processes. - Design data structures and ensure data quality across Dynamics CRM and integrated systems. - **Performance Optimization & Troubleshooting**: - Continuously optimize CRM solutions and data pipelines for performance. - Provide advanced troubleshooting expertise to resolve integration and data flow issues quickly. - **Collaboration & Stakeholder Management**: - Work closely with business analysts, functional consultants, and technical teams to ensure project goals are met. - Participate in code reviews, knowledge sharing sessions, and mentoring junior team members. **Required Skills & Qualifications**: - **Microsoft Dynamics CRM**: - Strong experience in Microsoft Dynamics CRM configuration, customization, and development. - **Azure Data Factory (ADF)**: - Advanced-level hands-on experience with Azure Data Factory for ETL processes. - **Integration Skills**: - Proven experience with CRM integration technologies including REST APIs, SOAP Web Services, and data integration tools. - **Cloud & Data Engineering**: - Strong understanding of Azure cloud data platforms and services. - **Insurance Domain Knowledge (Preferred)**: - Understanding of key insurance concepts is an advantage. - **Technical Skills**: - Proficiency in development languages such as C#, JavaScript, or TypeScript. **Preferred Qualifications**: - **Certifications**: - Microsoft Certified: Dynamics 365 Fundamentals or equivalent certification. - **Project Management & Methodologies**: - Experience with Agile/Scrum methodology is desirable. - **Soft Skills**: - Strong communication skills and problem-solving capabilities in a collaborative environment.,

Role Overview: As a Data Migration Specialist at Mercedes-Benz Research and Development India Private Limited, your primary responsibility will be to develop and implement comprehensive data migration strategies for different templates in scope for SAP transformation projects. You will lead a team of specialists, work closely with stakeholders, ensure data quality and integrity, manage migration tools, maintain documentation, resolve issues promptly, and provide regular project updates. Key Responsibilities: - Develop and implement comprehensive data migration strategies for different templates (E.g.: ECC to S4, S4 to S4) in alignment with business objectives - Lead and manage a team of data migration specialists, providing guidance and oversight throughout the migration process - Collaborate with functional and technical stakeholders to understand data requirements and ensure stakeholder needs are met - Ensure data quality, integrity, and compliance through data profiling, analysis, cleansing, validation, and reconciliation - Define and manage ETL processes using tools like SAP Data Services, LSMW, LTMC, and Syniti, exploring innovative ideas for automation - Maintain comprehensive documentation of data migration processes and provide regular project updates - Identify and resolve data migration issues promptly, collaborating with functional consultants as needed Qualification Required: - Education: B.E (any field) or M.B.A (General Administration) - Total Experience: 15 years - Technical Skills: Strong knowledge of SAP data structures, SAP ABAP, SAP Data migration tools, and proficiency in SQL - Soft Skills: Excellent leadership, communication, and problem-solving skills - Additional Tools: Experience with Syniti tools or other third-party migration tools is beneficial - Communication: Excellent verbal and written communication skills in English Additional Details: The role may involve collaboration with cross-functional teams and travel to client locations as needed. The ability to work in a fast-paced environment and adapt to changing project requirements is essential. Please note the contact details for recruitment at Mercedes-Benz Research and Development India Private Limited: MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com,

As an Associate/AVP - Data Science at J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team, you will be instrumental in developing innovative AI/ML solutions to enhance risk management and compliance processes. You will have the opportunity to work with advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform the organization's approach towards compliance, conduct, and operational risks. **Key Responsibilities:** - Design, deploy, and manage AI/ML models using advanced techniques such as LLMs and Agentic AI for developing compliance and risk management solutions. - Conduct research on AI techniques to improve model performance in the compliance and risk domains. - Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system. - Communicate technical concepts effectively to both technical and non-technical stakeholders. - Develop and maintain tools and frameworks for model training, evaluation, and optimization. - Analyze and interpret data to evaluate model performance and identify areas for enhancement. **Qualification Required:** - Masters degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from reputed Universities. - Minimum of 6 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. - Proficiency in Python programming, with experience in frameworks like PyTorch or TensorFlow. - Sound knowledge of machine learning concepts, including transformers and language modeling. - Experience in data pre-processing, feature engineering, and data analysis. - Strong problem-solving skills and the ability to communicate ideas and results clearly. - Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows. Joining the CCOR Data Science team at J.P. Morgan will not only provide you with the opportunity to work on cutting-edge AI/ML solutions but also offer avenues for skill development and career growth in AI, machine learning, and data science.,

Urgent Recruitment for Data Entry Positions at Work From Home. Executive Summary This proposal outlines the recruitment strategy for filling the Data Entry positions at Data Entry Services. The company aims to attract qualified candidates who can efficiently manage data entry tasks while ensuring accuracy and confidentiality. This initiative will enhance operational efficiency and support the growth objectives of the organization.  Business Overview  Company Name: Data Entry Services  Location: Pan India Nature of Work: Work from Home Position Offered: Data Entry Executive  Experience: 0 to 3 years Salary & Incentives: 24,800 to 68,800 Weekly & Monthly Nature of Work:  Next StepsTo move forward with your application,    Please contact us via WhatsApp at :- 9161178172      . Primary Number :    WhatsApp:-  9161178172   WhatsApp Link -:  8varv7   Executive name -   MANAS BARIK  Data Entry Services is recognized as a leading provider of data management solutions, dedicated to assisting businesses in optimizing their data processes. Our focus on accuracy and efficiency enables our clients to make informed decisions based on reliable information. Job Description The selected candidates will be responsible for: - Accurately entering and updating data into databases or spreadsheets.- Verifying data for completeness before system entry.- Maintaining confidentiality and security of all entered data.- Assisting with data clean-up and organization projects.- Communicating effectively with team members to ensure timely completionof tasks.  Key Accountabilities 1. Data Accuracy: Ensure all data entered is accurate and complete. 2. Confidentiality Maintenance: Safeguard sensitive information throughout the data entry process. 3. Task Efficiency: Complete assigned tasks within stipulated timelines while managing multiple priorities. 4. Communication Skills: Maintain clear communication with team members regarding project status and challenges. Compensation Structure Candidates will receive a competitive salary ranging from 19,600 to 86,600 weekly or monthly, depending on experience and performance. This flexible compensation structure is designed to attract top talent across India without imposing performance targets. Recruitment Strategy To effectively reach potential candidates, we propose the following strategies: 1. WhatsApp Outreach: Utilize WhatsApp as a primary communication tool forapplicants, streamlining the application process. We recommend Message on WhatsApp to discuss this proposal further and finalize the recruitment strategy. Thank you for considering this proposal. Best Regards, Data Entry Services.

As a Data & Excel Operations Intern, you will play a crucial role in supporting analytics, operations, and reporting workflows. Your attention to detail and willingness to learn new tools and processes will greatly contribute to our team's success. Key Responsibilities: - Work with large Excel spreadsheets to clean, structure, and organize data efficiently. - Perform data validation, deduplication, formatting, and error checks to ensure data accuracy. - Utilize basic Python scripts for data cleaning and automation tasks. - Maintain detailed documentation of workflows to facilitate smooth operations. - Collaborate effectively with cross-functional teams on various data-related tasks. Required Skills: - Strong proficiency in Microsoft Excel, including sorting, filtering, formulas, and pivot tables. - Basic understanding of data cleaning concepts to enhance data quality. - High attention to detail and accuracy to ensure precise data handling. - Basic knowledge of Python (Pandas or a strong willingness to learn quickly). - Ability to follow instructions diligently and work independently. - Good problem-solving and analytical skills to tackle complex data challenges. Good to Have: - Knowledge of Google Sheets for versatile data management. - Familiarity with CSV/Excel file handling in Python for streamlined operations. - Understanding of business operations or healthcare data to provide valuable insights. In this internship, you will have the opportunity to learn: - Real-world data cleaning and quality workflows that are essential for accurate analysis. - Automating operations using Python to enhance efficiency. - Working with large datasets and structured reporting processes for comprehensive insights. - Professional documentation and analytical reporting practices to communicate findings effectively. If you are interested in this exciting opportunity, please share your CV with nanda.k@telradsol.com. Join us in this dynamic role where you can enhance your skills and contribute to meaningful projects.,

As a Hardware Engineer at Qualcomm India Private Limited, you will play a crucial role in planning, designing, optimizing, verifying, and testing electronic systems. Your responsibilities will include working on various systems such as circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. You will be instrumental in launching cutting-edge products by collaborating with cross-functional teams to develop solutions and meet performance requirements. Key Responsibilities: - Design and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases. - Develop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques. - Perform feature engineering, model evaluation, and hyperparameter tuning to improve model performance. - Build scalable data ingestion and transformation pipelines using Python and cloud-native tools. - Apply statistical analysis and visualization techniques to derive insights from large datasets. - Conduct time series analysis using methods such as ANOVA and other statistical techniques. - Experiment with GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and provide technical guidance to internal teams. Qualification Required: - Masters degree in Computer Science, Data Science, or a related field. - Strong programming skills in Python or C++. - Solid understanding of data structures, algorithms, and software design principles. - Strong analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques (e.g., classification, clustering, dimensionality reduction). - Experience with deep neural network architectures including RNNs, and Transformers. - Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Proficiency in data analysis using Pandas, NumPy, and Matplotlib. - Statistical Analysis & Visualization - Feature Engineering & Model Evaluation - Understanding of GPU, CUDA & High performance Computing Frameworks & Methods. Preferred Qualifications: - PHD in Computer Science, Data Science, or a related field. - Experience in large Model Development & Training from the Scratch. - Familiarity with time series analysis methods including ANOVA, ARIMA, and seasonal decomposition. - Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS). - Knowledge of LLM integration frameworks (e.g., LangChain). - Hands-on experience with distributed computing and cloud-scale data processing. - Software Design & Architecture Qualcomm India Private Limited is focused on applying state-of-the-art AI and ML technologies to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development. If you are a passionate and technically strong engineer looking to drive innovation in chip design, qualification, and debug engineering, this is the perfect opportunity for you.,

As a candidate for the position at Adobe, you will be part of a team that is dedicated to changing the world through digital experiences. Your role will involve working on the design and development of large-scale data-driven systems using open-source technologies like Apache Spark, Hadoop Stack, Kafka, Druid, etc. You will also utilize your skills in NoSQL and RDBMS systems, coding in Java/Scala, and proficiency in data structures and algorithms to contribute to the success of the team. Key Responsibilities: - Participate in technical design and implementation strategy for major systems & components of AdCloud - Design, build, and deploy products with high quality standards - Bring innovation to the existing system for increased robustness, ease, and convenience - Articulate design and code choices to cross-functional teams - Review and provide feedback on features, technology, architecture, design, time & budget estimates, and test strategies - Collaborate with other teams to achieve common goals Qualifications Required: - 8+ years of experience in design and development of large-scale data-driven systems - Proficiency in open-source technologies such as Apache Spark, Hadoop Stack, Kafka, Druid, etc. - Experience with NoSQL (Cassandra/HBase/Aerospike) and RDBMS systems - Strong problem-solving, coding (in Java/Scala, etc.), and system design skills - Proficiency in data structures and algorithms - Cost consciousness around computation and memory requirements - Strong verbal and written communication skills - BTech/M.Tech/MS in Computer Science - AdTech Product Engineering Experience is preferred Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunities. They value new ideas from all levels of the organization and believe that the next big idea could be yours. Adobe aims to make its website accessible to all users, and if you require accommodation due to a disability or special need, you can contact accommodations@adobe.com or call (408) 536-3015.,

As an applicant for the Master Data Management - Material Master role at a TOP MNC, your main responsibility will be to manage Material Master data effectively. You will be required to work as an end user, utilizing tools such as SAP, Winshuttle, and LSMW. Your work location will be Pan India, and you are expected to have 4 to 8 years of experience in this field. **Roles & Responsibilities:** - Execute maintenance activities on SAP master data following the business review process, including creating, changing, extending, blocking/unblocking, activating/deactivating, or modifying master data as needed. - Work on Winshuttle requests to develop and support efficient Master Data workflows to automate data maintenance in SAP. - Have a good understanding of SAP master data structure to analyze business requirements effectively. - Preferably have exposure to other SAP master data domains like vendor, customer, and material. - Perform mass loads using SAP tools, LSMW, Winshuttle, or other software. - Process workflows using SAP or other software efficiently. **Qualifications Required:** - You should be a graduate or postgraduate with a minimum degree requirement of a Bachelor's degree. - Preferred degree requirements include a Bachelor's degree in Commerce or Science. **Experience:** - You must have 4 to 6 years of related experience, with exposure to Material Master & Vendor Master. - Demonstrated experience in master data management operations, ensuring SLAs are met. - Ability to prioritize and complete multiple tasks within tight deadlines. - 3 to 5 years of relevant industry experience maintaining SAP Master Data or equivalent SAP Analyst experience is beneficial. **Skills Required:** - Ability to query with SE16 and SQVI in SAP. - Proficiency in mass loads using SAP tools, LSMW, Win Shuttle, and SAP T codes such as XD99. - Familiarity with master data T codes and tables. - Specific domain experience in Vendor, Material, and Customer master data with relevant SAP transactions. This role offers a competitive salary of 9 LPA and allows for a flexible work mode with the option to work from home. If you meet the qualifications and skills required for this position, please share your resume by emailing it to Amzad@inspirationmanpower.co.in or contact Amzad Ali at 9900024952 for further details.,

As a Data Governance Subject Matter Expert (SME) at NTT DATA, you will play a crucial role in ensuring effective data governance practices within client organizations. Your responsibilities will include: - Documenting core data governance framework deliverables such as the operating model, organization roles & responsibilities, policies, standards, use cases, and performance metrics - Documenting client organization's direction, structure, business processes, and requirements related to data creation and maintenance - Analyzing business objectives to understand governance needs and propose solutions considering timeliness, effectiveness, and practicality - Identifying cross impacts to other systems/initiatives/capabilities and providing guidance and training on data governance framework - Creating, consolidating, and presenting documents on use cases, policies, processes, standards, and guidelines with traceability back to requirements - Participating in design reviews, change control processes, and carrying out project support/administrative functions - Proficiency in Microsoft Office suite and willingness to travel as per client demands Minimum Skills Required: - 8+ years of experience defining and implementing Data Governance Programs - 6+ years of experience with Data Governance Tools and Platforms, mainly Microsoft Purview - 7+ years of experience managing small projects with skills in status reporting, risk & issue management, resource and budget management - 3+ years of experience working with MDM tools - 2+ years of engagement management experience - Bachelor's degree in business or related field Preferences: - Consulting experience, especially in industry-specific sectors such as FSI, Manufacturing, Healthcare About NTT DATA: NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. Committed to client success through responsible innovation, we offer unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. Our consulting and industry solutions empower organizations to confidently transition into the digital future. With experts in over 50 countries, we provide access to a robust ecosystem of innovation centers and partners. As part of the NTT Group investing over $3 billion annually in R&D, we are dedicated to driving positive societal impact through technology.,