11+ KDB Jobs in Pune | KDB Job openings in Pune

• 8-13 years of relevant experience
• Strong analytical and problem solving skills
• Knowledge of software design, testing and development practices
• Must have hands on experience in Q/KDB+.
• Good knowledge of Python, Java, C++, Shell Script(any one)
• Good knowledge on SQL/PLSQL and databases (any RDBMS)
• Have experience on using Git/Bit bucket
• Good communication skills, both verbal and written.
• Ability to work under pressure, with minimal supervision, and in a team environment
• Detail-oriented and with strong organizational skills

We are looking for passionate TIBCO BW developer, would like to;

●Play an important role in our agile software development team

●Use new technologies and solve thrilling development tasks

●Write clean and reusable code with page performance in mind

●Deliver rich, engaging and unmatched user experience

●Continuously update and expand the existing product

Skills & Requirements:

Below is a list of preferred requirements. Bear in mind that we always favor talent, energy, and a history of being a “top performer” over any specific skill set.

●BTech/MS in Computer Science or related fields or extensive software development experience

●Should have 2- 6 experience in Tibco Business Works

●Must be hands on with TIBCO Business Works5.x along with TIBCO Administrator, TIBCO EMS, FTP, SFTP Pallets, XML technologies (XML, WSDL, XSD), Web Services (SOAP over JMS), Rest Services

●Work experience on TIBCO Business Works6.x, TIBCO ADB/File Adapters would be an added advantage

●Should be able to work with business stake holders and understand the business requirements and able to create necessary TIBCO integration interface

Position- Backend Lead

Location : Pune/Bangalore

Exp : 10+ years

Prefer Mid Jan joiners

• 8+ years’ experience in Core Java / J2EE, Tomcat, Application Server, Web Services, spring, Spring Boot, Hibernate, messaging systems.
• 10 years min with Team leading experience
• Java 8+, Docker Container, Continuous Integration /Continuous Deployment
• Spring Boot,
• Microservice Architecture,          
• PostgreSQL, Azure,MySQL,
• Docker Container, Continuous Integration /Continuous Deployment         

Mandatory Skills:

1. Good Coding Skills
2. Hands on Experience on C#
3. Indexer
4. Object Oriented concepts using C#
5. Linq
6. Generics
7. Delegates
8. File IO
9. GAC concepts
10. MVC
11. Entity framework
12. .Net Core Concepts
13. Web-API
14. Sql Queries

Secondary Skills:

• Knowledge of Angular/React/Vue/Java Script/ Type Script
• Knowledge of HTML and CSS
• SQL Server and PL/SQL
• Understanding of Design Patterns

Interpersonal Skills:

1. Good in communications (Verbal and Written)
2. Should have worked individually or in team

Job Description:

GeoSpoc is looking for passionate Senior Frontend Engineers to join the software engineering team and help build elegant, intuitive interfaces to analyse geospatial data.

• A passionate developer with solid understanding of software basics.
• Always willing to learn and explore upcoming technologies.
• Pro-active, reliable and result oriented.
• Someone who can continuously perform in a fast-paced environment.

• Extensive experience building and maintaining responsive web interfaces using modern JavaScript, HTML & CSS tools and client-side frameworks like React or Vue
• JavaScript -
• Extensive knowledge of JavaScript. ES6, polyfills, etc.
• Writing good code with proper use of Linters.
• Good to have -TypeScript and/or JSDoc
• Minimum 1 years of experience in state management libs such as Vuex or Redux.
• Proficient in agile software development practices: version control, Kanban, ticketing, peer-reviews
• Test driven development, continuous integration and continuous deployment.
• Experience with docker and container orchestration
• Good understanding of micro-services architecture
• Experience building solutions for the cloud; using AWS, Azure, GCP etc.
• Has had hands-on experiences in developing performance driven Progressive Web Apps

• js / React - 1.5 to 3 years
• State Management - 1 to 3 years
• Vanilla JS - 3 to 5 years
• Karma / Jest - 1 to 3 years
• Map libs - 1.5 to 3 years
• Docker - 1.5 to 3 years
• HTML5 / CSS3 - 2 to 5 years

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning