11+ Oracle Designer Jobs in Pune | Oracle Designer Job openings in Pune
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Oracle OAS Developer
Senior OAS/OAC (Oracle analytics) designer and developer having 3+ years of experience. Worked on new Oracle Analytics platform. Used latest features, custom plug ins and design new one using Java. Has good understanding about the various graphs data points and usage for appropriate financial data display. Worked on performance tuning and build complex data security requirements.
Qualifications
Bachelor university degree in Engineering/Computer Science.
Additional information
Have knowledge of Financial and HR dashboard
Relationship Manager – Insurance Sales.
Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained.
Achieving Sales Target
Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills.
Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities.
Building and maintaining strong relationships with agents, providing support and addressing their needs.
Tracking agent performance, identifying areas for improvement.
Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability.
Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network.
Required skills
Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
Basic computer knowledge and statistical analysis
Job Description – Blueprism Developer
- Design technical specifications for RPA (Blue Prism) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.
- Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.
- Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
- Complies with and helps to enforce design and coding standards, policies and procedures.
- Ensures documentation is well maintained.
- Ensures quality of coded components by performing thorough unit testing.
- Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.
- Reports status, issues and risks to tech leads on a regular basis
- Improves skills in automation products by completing automation certification.
- Mentors junior developers and performs code reviews for quality control.
Qualifications
Bachelor degree in Engineering / Computer Science
Additional Information
- 5- 8 years of IT experience and having good understanding of programming concepts. Should be from a programming background on any coding language (.Net, Java).
- Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.
- Understands development methodology and lifecycle
- Should be trained on RPA tools (Blue Prism).
- Self-motivated, team player, action and results oriented.
- Well organized, good communication and reporting skills.
Golang Developer
Location: Chennai/ Hyderabad/Pune/Noida/Bangalore
Experience: 4+ years
Notice Period: Immediate/ 15 days
Job Description:
- Must have at least 3 years of experience working with Golang.
- Strong Cloud experience is required for day-to-day work.
- Experience with the Go programming language is necessary.
- Good communication skills are a plus.
- Skills- Aws, Gcp, Azure, Golang
We are looking for people with programming skills in Python, SQL, Cloud Computing. Candidate should have experience in at least one of the major cloud-computing platforms - AWS/Azure/GCP. He should professioanl experience in handling applications and databases in the cloud using VMs and Docker images. He should have ability to design and develop applications for the cloud.
You will be responsible for
- Leading the DevOps strategy and development of SAAS Product Deployments
- Leading and mentoring other computer programmers.
- Evaluating student work and providing guidance in the online courses in programming and cloud computing.
Desired experience/skills
Qualifications: Graduate degree in Computer Science or related field, or equivalent experience.
Skills:
- Strong programming skills in Python, SQL,
- Cloud Computing
Experience:
2+ years of programming experience including Python, SQL, and Cloud Computing. Familiarity with command line working environment.
Note: A strong programming background, in any language and cloud computing platform is required. We are flexible about the degree of familiarity needed for the specific environments Python, SQL. If you have extensive experience in one of the cloud computing platforms and less in others you should still, consider applying.
Soft Skills:
- Good interpersonal, written, and verbal communication skills; including the ability to explain the concepts to others.
- A strong understanding of algorithms and data structures, and their performance characteristics.
- Awareness of and sensitivity to the educational goals of a multicultural population would also be desirable.
- Detail oriented and well organized.
- Bachelor’s Degree in Computer Science or equivalent
- 8-12 years’ of industry experience in programming web applications, mobile and/or large scale enterprise products
- Deep knowledge of C#, ASP, .NET, MVC, .Net core
- Deep knowledge and extensive experience working on Ruby or React and JavaScript, as required
- Experience with XML, ADO/ADO.NET, LINQ, AJAX, IIS
- Extended experience with SQL, relational and non-relational databases
- Experience in TFS and Visual Studio
- Hands on experience with SDLC and programming design patterns
- Experience with Agile methodology
- Skillful at reviewing new feature impact on an application and recognizing potential risks
- Uses time effectively and efficiently
- Quickly learns new technologies
- Detailed oriented, professional and possesses a positive work attitude
- Communicate professionally both verbally and in writing
- Effective time management skills
- Knowledge on UI technologies will be plus
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes, investigating problem areas, following the software development lifecycle.
- Conducts systems analysis and makes recommendations to improve the system to achieve an outcome.
- Promotes internal best practices and coding conventions to write and execute tests for your own code, including creating comprehensive unit tests.
- Contributes to Technical Requirements Documents.
- Requests constructive feedback for designs early in the process.
- Communicates successfully with large teams and many stakeholders.
- Provides mentorship for Software Engineers and participates in interview panels to hire new Software Engineers.
- Assists in removing obstacles for the team to yield successful sprints.
- Performs peer code reviews to ensure quality of the codebase.
- Ability to decompose and delegate work to junior engineers.
- Updates job knowledge by studying state-of-the-art development tools, programming techniques and computing equipment; participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations.
- Works effectively with multiple projects and features.
- All other duties as assigned.
Requirements:
- Educational Qualification: BCS, MCS, BCA, MCA or equivalent degree in trade/commerce stream with domain knowledge in indirect taxation.
- Prior work experience in tax software solution or tax advisory companies preferred.
- Ability to effectively service large portfolio of customers
- Excellence in Interpersonal Skills with strong command on spoken and written communication skills
- Ability to thrive in a multi-tasking environment
Roles and Responsibilities:
- Guide a team of customer support associates on customer issue investigation and resolution by applying understanding of GST compliance requirements, GSTN APIs, Eway Bill APIs and E-Invoicing APIs etc.
- Logging and keeping records of customer/employee queries
- Analysing call logs so you can spot common trends and underlying problems, to guide support team
- Updating self-help documents or preparing FAQ’s, to build knowledge base of support team on issues raised by ASP Partners and Corporates.
- Ensure timely response to customers with accurate guidance for issue resolution, by measuring the performance of support team on response SLA and quality of response.
- Manage ongoing interaction with key client relationships to build the relationship to level of being the preferred and only service provider for GST compliance requirements.
- Manage monthly billing operations across customer portfolio – including a good control on receivable ageing and reporting to management on realization delays which require management intervention.
- Manage regular interaction with GST Network for customer issues. Build a strong relationship with GST Network to achieve quicker turnaround from GSTN on deliverables.
- Keep a close watch on any updates from GSTN and/or the ASP-GSP ecosystem, to convey relevant updates to our customer portfolio.
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



