Data Structures Jobs

We are looking for a Data Entry Operator to join our team in Sri Ganganagar, India. This is a part-time, work-from-home position suited for freshers who have completed their 12th grade.nnKey responsibilities include accurately entering data into our systems, ensuring that all information is correct and up-to-date. You will also help manage existing data by organizing files, checking for errors, and making necessary corrections. Timely completion of tasks is crucial, as you will play a key role in keeping our databases reliable and efficient.nnTo succeed in this role, you should possess strong attention to detail, ensuring that all entries are accurate. Basic computer skills are essential, including familiarity with data entry software and Microsoft Office applications. Good organizational skills are important, as you will deal with various files and data sets. Effective communication will be necessary, as you may need to collaborate with team members remotely. nnWe expect a commitment to deadlines, with the ability to prioritize tasks. Reliability and dedication to maintaining data integrity are critical attributes for this position. If you are a female candidate who is eager to learn and grow in the data management field, we encourage you to apply.

We are looking for a Data Entry Operator for a part-time position that allows you to work from home. This role is ideal for freshers who have completed their 12th grade and are eager to start their careers.As a Data Entry Operator, you will be responsible for entering, updating, and managing data accurately in various systems. You will help in maintaining databases and ensuring that information is up-to-date and organized. Your attention to detail and ability to follow instructions is crucial for this role.Key Responsibilities:1. Data Entry: Accurately input data from various sources into the company database or management system.2. Data Verification: Review and verify data for accuracy and completeness to ensure high-quality records.3. Database Maintenance: Regularly update and maintain existing data, ensuring it is organized and easily accessible.4. Reporting: Assist in generating reports from the database as required by the team to support business operations.Required Skills and Expectations:Candidates should have basic computer skills, including familiarity with word processing software and spreadsheets. A good command of English and strong attention to detail are essential. You should be able to work independently with minimal supervision, manage your time effectively, and meet deadlines. Communication skills to coordinate with team members and follow instructions are also important. A keen interest in data management will be an added advantage.

Role & responsibilitiesGather data from databases (SQL), APIs, cloud platforms, spreadsheets, and CRM tools.Identify and remove duplicates, errors, and inconsistenciesBuild interactive dashboards and reports using Power BI, Tableau, ExcelProvide actionable insights to improve marketing, sales, operations, or risk management.Write SQL queries and scripts in Python/R for repetitive tasks.Maintain documentation of data sources, definitions, and processes.

We are looking for enthusiastic and motivated individuals for a Java Internship position in Coimbatore. This role is ideal for fresh graduates who are eager to learn and gain hands-on experience in software development.Key Responsibilities:- Assist in Software Development: You will work with experienced developers to create Java applications, helping to write clean and efficient code.- Bug Fixing: Identify and troubleshoot bugs in existing code to improve application performance, ensuring a smoother user experience.- Testing Applications: Participate in testing processes to ensure that software meets quality standards, helping to identify issues before deployment.- Learning and Development: Engage in training sessions and workshops to enhance your Java programming skills, as well as understanding software development practices.- Documentation: Help maintain clear and organized documentation for code and processes, making it easier for the team to understand and follow project developments.Required Skills and Expectations:Candidates should have a basic understanding of Java programming language and object-oriented concepts. Familiarity with HTML and SQL is a plus. Strong problem-solving skills and a desire to learn new technologies are essential. You should be a graduate in B.C.A, B.B.A, B.Com, B.Sc, or B.E. Good communication skills are important for collaborating with team members. Lastly, a proactive attitude toward challenges and a passion for software development will help you succeed in this role.

QUANTITATIVE DEVELOPERCore Trading Systems Systematic Trading DivisionFull-time1-2 Years ExperienceC++ Low-Latency HFTABOUT THE ROLEWe're building the next generation of systematic trading infrastructure and looking for a sharpQuantitative Developer to join our core engineering team. You'll work at the intersection of high performancesystems and financial markets - designing and optimizing the execution layer thatpowers our trading strategies at microsecond precision.This is a rare opportunity for an early-career engineer to take ownership of production-grade systemsfrom day one. You'll collaborate closely with quants, infrastructure engineers, and traders in a fastpaced,technically rigorous environment where your code directly impacts trading performance.WHAT YOU'LL WORK ON Build and optimize trade execution systems that operate at microsecond-level latency Develop robust Order Management Systems (OMS) with a focus on correctness andthroughput Design HFT simulation environments and UAT frameworks to model real market conditions Enhance execution order logic and exchange connectivity across multiple trading venues Profile and tune system performance - reducing latency, improving throughput, and ensuringreliability under loadWHAT WE'RE LOOKING FOR 1-2 years of hands-on C/C++ development in low-latency or performance-critical environments Strong understanding of trading systems, collocation infrastructure, networking, or executionplatforms Exposure to HFT environments, market microstructure, or simulation systems preferred. Solid grasp of multithreading, direct memory access, concurrency, lock-free data structures,and system design patterns Degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

We are looking for a dedicated and motivated Engineer Application Development to join our team in Rajnandgaon, Chhattisgarh. This part-time position is ideal for freshers who have completed their 10th grade education and are eager to explore a career in application development from the comfort of their homes.nnKey Responsibilities:n- Assist in the development of software applications: You will collaborate with senior developers to create and improve applications that meet user needs.n- Conduct testing and debugging: You will help identify and fix issues in the applications, ensuring a smooth user experience.n- Write and maintain documentation: You will document processes and updates to ensure that the development team has clear guidance and records of the application progression.nnRequired Skills and Expectations:nWe seek candidates who are enthusiastic about learning and have a basic understanding of programming concepts. Strong problem-solving skills and attention to detail are essential for success in this role. Good communication skills will help you collaborate effectively with the team. Familiarity with coding languages is a plus but not mandatory. A willingness to learn and adapt in a fast-paced environment is crucial. As a part-time position, a commitment to completing assigned tasks on time while managing your working hours is expected.

We are Hiring for java tech Lead for a leading IT Software development company for Chennai Location.The ideal candidate is a self-motivated, multi-tasker, and demonstrated team player. You will be a lead developer responsible for the development of software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. Skills Strong: Data Structure and Algorithm Must know technologies: Backend Java, Reactjs, Spring boot, Oracle / SQL, Data StructureGood to know technologies: Perl, Javascript /Typescript/React, Micro Services Skill Level: Exceptional. Responsibilities Writing clean, high-quality, high-performance, maintainable code Develop and support software including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to insure project meets business objectives and compliance standards Support test and deployment of new products and features Participate in code reviews.Qualifications Bachelor's degree in Computer Science (or related field) 2-12 years of relevant work experience Ability to multi-task, organize, and prioritize work.If you are having the expertise, Please share your updated resume with below details.Current salary-Expected salary-Notice period (Max. 30 days)-Total Java exp.-Back end java-React js-Please revert me.

Job Location: NashikPosition: Sports Data AnalystNumber of Vacancies: 150180Eligibility:Qualification: Any Graduate (Completed), especially BCA / BCS / BCom / Diploma / DegreeAge Limit: 22 to 26 yearsBasic computer knowledgeGender: Male( Priority ) / FemaleExperience: FreshersSalary Package: 1.44 LPA 3.5 LPA (Basically 12K starting salary )Job Responsibilities:Analyze sports gameplay videos using our advanced software toolsAnnotate key events, player movements, and in-game strategiesProvide accurate and detailed video analysis reports

We are looking M.E and M.Tech Freshers or Experience information Software Trainer in Tamilnadu and Andrapradesh Location.Immediate joiners preferred

Key Responsibilities Model Development: Lead the design and development of quantitative data engineeringmodels, including algorithms, data pipelines, and data processing systems, to supportbusiness requirements. Data Processing: Develop and maintain data processing pipelines to ingest, clean,transform, and aggregate large volumes of data from various sources, ensuring dataquality and reliability. Algorithm Development: Design and implement algorithms for data analysis, machinelearning, and statistical modeling, using techniques such as regression analysis,clustering, and predictive modeling. Performance Optimization: Identify and implement optimizations to improve theperformance and efficiency of data processing and modeling algorithms, consideringfactors like scalability and resource utilization. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders. Data Quality Assurance: Implement data quality checks and validation processes toensure the accuracy, completeness, and consistency of data used in models andanalyses. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Collaboration: Collaborate with data scientists, analysts, and business stakeholders tounderstand requirements, develop models, and deliver insights that drive businessdecisions. Documentation: Document the design, implementation, and evaluation of dataengineering models, including assumptions, methodologies, and results, to ensurereproducibility and transparency. Continuous Learning: Stay updated with the latest trends, tools, and technologies inquantitative data engineering and data science, and continuously improve your skillsand knowledge.Desired Skills and Experience Data Engineering: Strong background in data engineering principles, including dataingestion, data processing, data transformation, and data storage, using tools andframeworks such as Apache Spark, Apache Flink, or AWS Glue. Quantitative Analysis: Proficiency in quantitative analysis techniques, includingstatistical modeling, machine learning, and data mining, with experience inimplementing algorithms for regression analysis, clustering, classification, and predictivemodeling. Programming Languages: Proficiency in programming languages commonly used fordata engineering and quantitative analysis, such as Python, R, Java, or Scala, as well asexperience with SQL for data querying and manipulation. Big Data Technologies: Familiarity with big data technologies and platforms, such asHadoop, Apache Kafka, Apache Hive, or AWS EMR, for processing and analyzing largevolumes of data. Data Visualization: Experience in data visualization techniques and tools, such asMatplotlib, Seaborn, or Tableau, for creating visualizations of data and model outputs tocommunicate insights effectively. Machine Learning Frameworks: Familiarity with machine learning frameworks andlibraries, such as PyTorch for implementing and deploying machine learning models. Cloud Computing: Experience with cloud computing platforms, such as AWS, Azure, orGoogle Cloud Platform, and proficiency in using cloud services for data engineering andmodel deployment. Software Development: Strong software development skills, including proficiency insoftware design patterns, version control systems (e.g., Git), and software testingframeworks, to develop robust and maintainable code. Problem-solving Skills: Excellent problem-solving skills, with the ability to analyzecomplex data engineering and quantitative analysis problems, identify solutions, andimplement them effectively. Communication and Collaboration: Strong communication and collaboration skills, withthe ability to work effectively with cross-functional teams, including data scientists,analysts, and business stakeholders, to understand requirements and deliver solutions. Domain Knowledge: Domain knowledge in areas such as finance, healthcare, ormarketing, depending on the industry, to understand the context and requirements ofdata engineering models in specific domains. Continuous Learning: A commitment to continuous learning and staying updated withthe latest trends, tools, and technologies in data engineering, quantitative analysis, andmachine learning.