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Job Title : Ab Initio Developer

Location : Pune

Experience : 5+ Years

Notice Period : Immediate Joiners Only

Job Summary :

We are looking for an experienced Ab Initio Developer to join our team in Pune.

The ideal candidate should have strong hands-on experience in Ab Initio development, data integration, and Unix scripting, with a solid understanding of SDLC and data warehousing concepts.

Mandatory Skills :

Ab Initio (GDE, EME, graphs, parameters), SQL/Teradata, Data Warehousing, Unix Shell Scripting, Data Integration, DB Load/Unload Utilities.

Key Responsibilities :

• Design and develop Ab Initio graphs/plans/sandboxes/projects using GDE and EME.
• Manage and configure standard environment parameters and multifile systems.
• Perform complex data integration from multiple source and target systems with business rule transformations.
• Utilize DB Load/Unload Utilities effectively for optimized performance.
• Implement generic graphs, ensure proper use of parallelism, and maintain project parameters.
• Work in a data warehouse environment involving SDLC, ETL processes, and data analysis.
• Write and maintain Unix Shell Scripts and use utilities like sed, awk, etc.
• Optimize and troubleshoot performance issues in Ab Initio jobs.

Mandatory Skills :

• Strong expertise in Ab Initio (GDE, EME, graphs, parallelism, DB utilities, multifile systems).
• Experience with SQL and databases like SQL Server or Teradata.
• Proficiency in Unix Shell Scripting and Unix utilities.
• Data integration and ETL from varied source/target systems.

Good to Have :

• Experience in Ab Initio and AWS integration.
• Knowledge of Message Queues and Continuous Graphs.
• Exposure to Metadata Hub.
• Familiarity with Big Data tools such as Hive, Impala.
• Understanding of job scheduling tools.

Hiring for Java Developer Freshers to Experienced with probation training come full time employment.

Must skills:

Hands- on in the following:

• Java 8/J2EE
• Spring boot
• Gradle/Maven
• REST API
• ORM- hibernate/ JPA
• Unit Testing and Integration Testing- Junit/ TestNG

Good to have:

Hands-on in the following:

• CI/CD pipeline deployment
• Messaging- ActiveMQ/RabbitMQ/MQ
• DB2
• Kafka
• NoSQL framework exposure

Product marketers play a crucial role in positioning products/services the right way to the right people because they have a deep understanding of your target customers and how our products and services fulfil their needs. As a product marketing specialist, you will be on the team responsible for telling the world (and enterprises) the story of our product. You will be expected to be an avid advocate for our product feature set and its benefits. We’re looking for a passionate, go-getter who will have the opportunity to make a big impact on a tightly knit team that is building enterprise software. 

This could be an excellent opportunity to take your career to the next level and learn a lot more along the way, hopefully you’ll teach us a few things too!

• You will be required to create product content (e.g. sales enablement documentation, case studies, product videos, website copy, blog posts, Quora/forum responses) to articulate the benefits of our products to the world.
• Work on thetactical campaign execution. Daily hands-on work will include email builds/sends, landing pages, dynamic content, A/B tests, list imports, and database management.
• You will also set up, test, maintain, and report on recurring and triggered campaigns. Improve initiatives around lead targeting, A/B testing, and deliverability.
• You may be required to manage the company’s social media profiles and presence, including Facebook, Twitter, LinkedIn, and additional channels that may be deemed relevant.
• You will be expected to build product page content, optimize the conversion paths on those pages, and use dynamic call-to-action to create and test buyer stage-specific calls-to-action.
• Manage both on-page SEO and off-page SEO for the company.
• Collaborate with content marketing and blog contributors to create high-quality content around important, relevant terms.
• Manage and improve organic search engine performance and goal-setting based on clickthrough rates, traffic, and conversions. Track lead generation activities.

JOB SKILLS:

Expert at creating Digital Marketing Banners, Social Media posts, Email Templates, Logos and Corporate Brand Identity.

Solid conceptual, visualization, and communication skills during all phases of creative development from enquiry to delivery.

Deadline driven with the ability to complete tasks independently with a strong sense of ownership.

Ability to correlate the impact of design on Digital Marketing & Sales.

Always thinking about multiple iterations & variations for testing which design works better for users.

Experience in Graphic Design software - Adobe Photoshop, InDesign, Illustrator, Sketch, Corel draw, etc.

Experience in Video Editing

software

knowledge of UI/UX.

Turtlemint is a technology platform (http://www.turtlemint.com/">www.turtlemint.com) that facilitates the entire process of researching, decision-making and buying insurance. Turtlemint is building a unique insure-tech platform which is enabling the transaction of complex products with a simple and intuitive interface. On the supply side, Turtlemint aggregates more than 25+ insurers and enabled three unique demand channels. First, direct to consumer channels where users buy insurance products. Second, a network of more than 35,000 agents across India who use the Turtlemint platform to sell insurance. Third, the SaaS version of the same platform for large financial institutes, consumer applications, etc. Now it is expanding into other financial products like mutual funds.

Turtlemint is founded by IIT/IIM graduates, ex-employees of top companies like ICICI Lombard, Yahoo, eBay, and Quikr. Our management team has to experience building and growing many successful technologies and consumer companies. Turtlemint is growing rapidly and it is already amongst the top three insurance platforms in India. We are a well-funded startup, backed by leading Venture Capitalists, and began our business operations in September 2015. We strongly believe that as a technology-led company we can truly disrupt the 'old economy' financial services businesses, a multi-billion dollar industry in India.

Turtlemint promises to offer an intellectually enriching and fun work environment, and an opportunity to work with smart and dedicated colleagues. Come make an impact on millions of users on an important but often ignored aspect of their life - financial security & freedom!

Job Description  

Position: Engineering Manager

Role:  Engineering Manager  

Experience: 8-15 years  

Location: Mumbai/Pune

Responsibilities

• Lead a team of engineers and product managers in the ideation and technical development of product
• Provide strategic and operational oversight for Enterprise software product development
• Work closely with business leaders to develop short and long-term strategies
• Manage business expectations, resolve conflicts, and keep businesses aligned
• Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
• Experience scaling and managing 5-20 person teams
• Develop and drive execution on 6 months and 1-year road maps
• Drive innovation, establish new approaches in improving productivity
• Establish a metrics-based organization, develop key operational metrics and push for continuous improvement.
• Ensure system security, data integrity, and accuracy of financial records

Skillset and Experience

• 8+ years of experience in building Enterprise software
• 8+ years of experience with programming languages such as Java, PHP, Python, or C++
• 5+ years experience with agile systems development methodologies
• 4+ years of experience managing engineering teams including hiring/termination and performance management
• 3+ years of experience with either Spring Boot, Play Framework, Django, etc

Bachelors in Computer Science or a related technical field, or equivalent experience 

Finally, and most importantly, drive, energy, and motivation to succeed with delivering great customer experiences 

Bonus Qualification

• Experience developing financial products like insurance, mutual funds, etc
• Ability to understand the business logic
• Organizational and analytical skills

What you get: 

• To work in an early-stage consumer internet start-up in disruptive space  
• To directly work with the founding team of graduates from IIT/ IIM and experience at top internet brands like Yahoo/ eBay  
• Great culture and work with like-minded colleagues  
• Health Insurance for yourself and your family  

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