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Role Description

This is a full-time hybrid role as a GCP Data Engineer,. As a GCP Data Engineer, you will be responsible for managing large sets of structured and unstructured data and developing processes to convert data into insights, information, and knowledge.

Skill Name: GCP Data Engineer

Experience: 7-10 years

Notice Period: 0-15 days

Location :-Pune

If you have a passion for data engineering and possess the following , we would love to hear from you:

🔹 7 to 10 years of experience working on Software Development Life Cycle (SDLC)

🔹 At least 4+ years of experience in Google Cloud platform, with a focus on Big Query

🔹 Proficiency in Java and Python, along with experience in Google Cloud SDK & API Scripting

🔹 Experience in the Finance/Revenue domain would be considered an added advantage

🔹 Familiarity with GCP Migration activities and the DBT Tool would also be beneficial

You will play a crucial role in developing and maintaining our data infrastructure on the Google Cloud platform.

Your expertise in SDLC, Big Query, Java, Python, and Google Cloud SDK & API Scripting will be instrumental in ensuring the smooth operation of our data systems..

Join our dynamic team and contribute to our mission of harnessing the power of data to make informed business decisions.

Job Location: Baner, Pune (On-site)

Key Duties and Responsibilities

●     Design and develop websites from initial concept, site architecture, and user interface to finished deliverable

●     Code and implement custom themes, functions, and plugins using best practices and relevant coding standards.

●     Design and implement new features, enhancements, and content of existing websites

●     Create and update re-usable code libraries to streamline the WordPress development cycle

Requirements

●     3+ years’ experience working in web development and interface design.

●     In-depth WordPress experience with high-quality outcomes

●     Gutenberg block development experience.

●     Working knowledge of WordPress REST API or GraphQL.

●     Strong knowledge of current web development languages (including HTML5, CSS3, PHP/MySQL)

●     Comfort with Git-based development and deployment workflow.

●     Familiarity with web standards and usability

●     Flexibility and eagerness to identify, learn, and use new and changing technologies

●     Ability to manage multiple projects at a time

●     Attention to detail

 Job Title: Urgent opening - Web/front-end React.JS/Vue.JS  Developer 

Job Location: Baner, Pune 

Experience: 2 to 6 years 

Notice Period: 1 Month or Less  

Annual CTC: 400000 - 1500000 INR 

Skills: HTML5, CSS3, AJAX/JavaScript/JQuery, Bootstrap, Angular JS/ Rect.JS/ Vue.js, Bit-bucket, Git /GitHub 

Technical Requirements: 

• Technical know-how from both coding & design perspective - Bootstrap grid, Material design guidelines, HTML5, CSS3, JS, etc 
    
• In depth expertise and hands on experience with Front End Development technologies like Angular, Bootstrap and React.Js / Vue.Js etc. 
    
• In depth expertise and hands on experience with Designing Web Applications using programming languages such as HTML5, CSS3, JS, JQuery and API’s.  
    
• Strong understanding of UI requirements, cross-browser compatibility requirements, general web functions and other standards. 
    
• Experience with basic Architectures like MVC and MVVM 

• Comfort in working in short, agile, iterative development cycles 
   

Roles and Responsibilities: 

•  The candidate should take ownership of the assigned work from both UI and backend development standpoint. 
    
• The candidate should be able to understand client requirements and come back with Design as well as Technical specs and should be able to estimate requirements at lower level. 
    

• Should be able to visualize and create wireframes, storyboards, user flows, process flows and logic diagrams to communicate interaction and design ideas. 
    
• Should experiment on upcoming trends on coding, designing and implementing it during development. 
    
• Should have seamless and fluent communication, learning attitude and analytical nature. 
    
• Should be a problem solver with an attitude to contribute towards the success of Team/Project as well as organisation. 
    
• Should be able to guide other members in the team 
    
• Should take initiatives to improve code quality standards and team efficiency. 
    
• Should be able to Participate in the requirements gathering and come up with efficient solutions 
    
• Should be able to Efficiently estimate on high and low level along with assessing risk items 
   

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