WN Infotech

Indira Nagar, Bangalore

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.Job DescriptionDevelop and implement best practices for master data management - working in collaboration with subject matter experts.Identify trends and opportunities for growth through analysis of complex data sets.Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets.Collaborate with wider procurement team members to write prioritized business requirements, and documentation, including scope definition and statement of work as well as information needs.Design databases, develop ETL processes, and facilitate customized analyses.Identify process improvement opportunities, develop and implement necessary solutions working in partnership with process engineers - applying Agile, Lean, and automation/Robotic Process Automation where feasible.Be the point of contact for internal and external inquiries related to analytics, reporting, and dashboards.Managing master data, including creation, updates, and deletion.Processing confidential data and information according to guidelines and helping developers with reports and analysis.Managing and designing the reporting environment, including data sources, security, and metadata.Supporting the data warehouse in identifying and revising reporting requirements.Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.Evaluating changes and updates to source production systems.

We are searching for an accountable, multitalented data engineer to facilitate the operations of our data scientists. The data engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.Job DescriptionBasic concepts of Data Engineering, Hadoop, Data Warehousing, Designing & Implementing large-scale Distributed Data platforms.Building distributed platforms or services.SQL, NoSQL, Query Tuning & Performance Optimization.General advanced Scala or Java or python experience (Design, Code review, build, unit testing, integration & regression testing).Knowledge of Data Analysts and provide the data they need and guide them on the issues.Knowledge of high-level JavaScript concepts like asynchronous programming, closures, promises, data-binding, async-await, etc.DevOps experience in Jenkins, Maven, GitHub, Artifactory/Jfrog, CI/CD, TDD & BDD.Big Data Processing: Hadoop, Sqoop, Spark.Data Streaming: Experience with Kafka and Spark Streaming.Data Validation & Data Quality.Aggregate and clean raw data from different sources.Explore ways to enhance data quality and reliability.Collaborate with data scientists and architects on projects.

Our company is searching for a meticulous and experienced data architect to join our talented team. Your central responsibility as the data architect will be to develop, optimize, and oversee our companys conceptual and logical data systems. Your duties may include preparing architect reports, monitoring the system, and supervising system migrations.Job DescriptionDesign and implement effective database solutions and models to store and retrieve company data.Examine and identify database structural necessities by evaluating client operations, applications, and programming.Assess database implementation procedures to ensure they comply with internal and external regulations.Install and organize information systems to guarantee company functionality.Prepare accurate database design and architecture reports for management and executive teams.Oversee the migration of data from legacy systems to new solutions.Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.Recommend solutions to improve new and existing database systems.Educate staff members through training and individual support.Offer support by responding to system problems in a timely manner.Strong knowledge of database structure systems and data mining.Excellent organizational and analytical abilities.

Be a great data storyteller. Synthesize complex data sets into clear, concise, and compelling insights that inspire action through powerfully engaging narratives that drive growth for our brand and business. Partner with marketing and sales stakeholders to measure marketing effectiveness; translate business objectives into measurable goals, and define key performance indicators and relevant benchmarks.Create interactive data stores in business intelligence tools (Tableau preferred) by visualizing key insights to tell your story and convey the most meaningful information.Apply analytic reasoning to draw out insights in alignment with business priorities, explain the logic and reasoning to stakeholders, and deliver recommendations in alignment with strategy.Lead insights-driven discussions across Marketing and in-house agency teams to communicate a comprehensive view of the customer.Extract, transform, and blend a diverse data set of data sources from systems and relational databases (e.g., CRM, SQL, Adobe Analytics) using tools such as Excel, Alteryx, SQL, and Tableau Prep.Inform the optimal marketing mix based on campaigns and business goals.Flag and monitor data quality to ensure confidence in the data used for analysis.

To extrapolate our data, we need a highly qualified machine learning specialist. We're looking for a motivated team player who is knowledgeable about artificial intelligence and keeps up with its news and developments. The candidate will participate in every step of the process, including data collecting, cleaning, pre-processing, data validation, building training models, and data replication.Knowledge of building ML-based applications.Have an understanding of data structures, data modelling, and software architectureHands-on knowledge of math, probability, statistics, and algorithmsCoding knowledge in Python, Java, and RHands-on familiarity with popular ML frameworks and librariesDrive the vision for modern data and analytics platform to deliver well-architected, engineered data and analytics products.Ensure that ML models and pipelines are successfully implemented in real production environments. Analyze and resolve architectural problems, working closely with engineering, data science, and operations teams. Provide best-practice knowledge, reference architectures, and patterns for use across ML engineering and architecture communities.

To improve our machine learning systems, we are seeking a machine learning engineer with exceptional talent. You will be evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.Knowledge in Machine Learning & Artificial Intelligence/Machine Learning.Knowledge developing solutions with Pandas/Scikit-learn, Spark, or comparable technologies.Knowledge Machine Learning & Artificial Intelligence notebooks (Jupyter, Zeppelin, or other).Knowledge of relevant programming languages - for example, R, Python, C++, C, SQL, and Java - as needed to perform at the job levelKnowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job levelEnsuring that algorithms generate accurate user recommendations.Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.Have knowledge of mathematics, statistics, and algorithms.Superb analytical and problem-solving abilities.

Strong knowledge of MS SQL Server Database (T-SQL, Stored Procedures, Triggers, Functions, SSIS, etc), programming (XML or ETL frameworks), and Data Warehousing with database queries/analysis, and other scripting/programming languages (e.g., Python).Well conversant in providing technical solutions, database fine-tuning, performance improvement, providing estimation and should be able to justify the same with multiple stakeholders.Have knowledge in programming and coding including R, Python, and SQL with working in a risk vector (e.g., fraud, abuse, security).Ability to prioritize tasks, with attention to detail, and well organized to complete workload in a timely and effective manner.Ability to clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders.Excellent problem-solving, critical thinking, written and verbal communication, and analytical skills.Interest in aptitude in data, metrics, analysis, and trends.

Boosting the organizations financial performance through the analysis of financial results, forecasts, variances, and trendsAssisting in the process of capital budgeting and expenditure planningKeeping and maintaining accurate and up-to-date technical knowledge of financial instruments or tools, market conditions, and trendsConducting and comparing analysis and market research in order to support internal financial analysisDesigning and developing several financial models to support valuation, planning, and forecastingImplementing technical tools such as Excel formulas and functions to handle financial issuesGuiding and handling the cost analysis process by establishing and enforcing policies and proceduresLiaising with various project managers in order to discuss performanceCreating and maintaining various spreadsheets and dashboards in order to support analysis and provide insightCreating and maintaining models to value potential investment opportunitiesMonitoring and reviewing budgets and expenses, and coming up with ways to reduce or reimburse expenses.

Analyzing and translating business needs into long-term solution data models.Evaluating existing data systems.Working with the development team to create conceptual data models and data flows.Developing best practices for data coding to ensure consistency within the system.Reviewing modifications of existing systems for cross-compatibility.Implementing data strategies and developing physical data models.Updating and optimizing local and metadata models.Evaluating implemented data systems for variances, discrepancies, and efficiency.Troubleshooting and optimizing data systems.Data Modeler Requirements:1-5 years of hands-on experience with physical and relational data modeling.Expert knowledge of metadata management and related tools.Knowledge of mathematical foundations and statistical analysis.Strong interpersonal skills.Experience with team management.Excellent communication and presentation skills.Advanced troubleshooting skills.

Maintaining and enhancing the performance of existing database programs.Assisting database development teams in designing new database programs that meet the organization's data storage needs.Monitoring databases and related systems to ensure optimized performance.Writing new support programs and scripts to increase data storage capacity.Reviewing database and user reports, as well as system information.Performing debugging procedures on database scripts and programs, as well as resolving conflicts.Mentoring database administrators and providing them with technical support.Adhering to best practices in securely storing, backing up, and archiving data.Documenting processes related to database design, configuration, and performance.Keeping abreast of developments and best practices in database engineering.In-depth knowledge of Structured Query Language (SQL).Extensive experience with database technologies and architecture.Sound knowledge of best practices in database engineering and data security.

WN Infotech is offering live project internships. We are giving an internship in java which will be trained by our professional staff. What you'll learnBasics of Java Programming - Expressions, Variables, and Printing OutputJava Operators - Java Assignment Operator, Relational and Logical Operators, Short Circuit OperatorsJava Conditionals and If StatementMethods - Parameters, Arguments, and Return ValuesObject-Oriented Programming - Class, Object, State, and BehaviorBasics of OOPS - Encapsulation, Abstraction, Inheritance, and PolymorphismBasics about Java Data Types - Casting, Operators, and MoreJava Built-in Classes - BigDecimal, String, Java Wrapper ClassesHandle ExceptionsRead and Write files using the I/O Streams APIUnderstand and use the various Java Collection ClassesUse Concurrent Collections and EnumsDatabase Integration

WN Infotech offers live project internships. We are giving internships regarding .net, where training is provided by our professional staff. What you'll learnStart using C# and ASP. Net web forms with Visual Studio 2019 2022 From ScratchMultiple real world projects to learn web designLearn both Html & ASP. Net Web formHtml inspector to learn the design of websitesCSS styles : inline, internal & stylesheetMasterPage to design pro websitesDesign main menu, header & footerResponsive web page with flexUsing SQL in ASP. net websiteSearching SQL data on the websiteUsing Cookie, Session & Query StringAmazing CardView staff list websiteDebugging and PostBackAjax in ASP .NetASP controls: GridView, Label, TextboxHtml tags such as a table, p, span, headings,...Using images in HTMLPadding and margin in HTML CSS