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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

Job Description: CRM Developer

Location: Pune, India Employment Type:

Full-Time (Hybrid, 5 Days Working)

About the Role: We are seeking an experienced CRM Developer to design and deliver robust, scalable, and integrated business solutions using Microsoft Power Platform, Dynamics 365 CRM, and Azure services. You will collaborate with cross-functional teams to create dynamic business applications, automate processes, and generate actionable insights through data visualization

Key Responsibilities: tools.

 Design and develop end-to-end solutions integrating Power Platform, Dynamics 365 CRM, and Azure services that align with business requirements.

 Create architecture diagrams, data models, and technical documentation to ensure structured and scalable implementation.

 Build and configure Canvas and Model-Driven Power Apps for customized user experiences.

 Design, develop, and maintain Power Automate flows to streamline and automate key business processes.

 Create Power BI dashboards and reports to deliver real-time analytics and insights.

 Develop custom entities, workflows, plugins, and integrations within Microsoft Dynamics 365 CRM.

 Utilize Azure services such as Logic Apps, Functions, Service Bus, and Blob Storage to extend and integrate CRM solutions.

 Define and enforce best practices, standards, and coding guidelines for Power Platform and Dynamics CRM development.

 Collaborate with business analysts, solution architects, and stakeholders to translate business needs into technical solutions.

Skills & Qualifications:

 Experience with SSMS (must have) and SSIS (preferred)

 Proven experience in CRM development with a strong focus on Power Platform and Dynamics 365 CRM.

 Proficiency in Power Apps (Canvas and Model-Driven) development.

 Expertise in Power Automate for process automation.

 Hands-on experience with Power BI for analytics and reporting.

 Strong understanding of Dynamics 365 CRM modules such as Sales, Customer Service, Marketing, and Field Service.

 Experience with custom entities, plugins, workflows, and integrations.

 Experience using Azure Logic Apps, Azure Functions, Azure Service Bus, and Azure Blob Storage.

 Knowledge of Data verse, JavaScript, C#, and REST APIs is a plus.

 Experience with DevOps pipelines and ALM practices for Power Platform is desirable.

 Excellent problem-solving, communication, and interpersonal abilities.

 Strong analytical mindset with attention to detail.

 Ability to work effectively in a hybrid and collaborative environment.

Preferred Qualifications:

 Microsoft Certifications such as PL-400: Power Platform Developer Associate and MB 600: Microsoft Dynamics 365 + Power Platform Solution Architect Expert.

 Prior experience in enterprise-level CRM implementations or migration projects.

Why Join Us:

 Opportunity to work on cutting-edge Microsoft technologies.

 Collaborative and innovative environment that encourages learning and growth.

 Exposure to enterprise-grade digital transformation projects. 

Demonstrates extensive abilities and/or a proven record of success managing teams and executing the following areas:

• Guidewire PolicyCenter Configuration development experience;
• Knowledge of P&C Insurance domain (Policy applications as per product requirements);
• Designing, developing, modifying, and deploying software, including object-oriented programming concepts with using design standards and best practices;
• Planning, designing, developing, modifying, testing, debugging, and maintaining GOSU language application code within Guidewire PolicyCenter
• Configuring screen layouts, including creation of new screens (PCFs);
• Configuring operational and administration related parameters such as roles and permissions, user attributes regions, and activity patterns;
• Resolving issues identified during testing of the configuration requirements; Handling the responsibility of organizing code merges and environment management tasks;
• Performing minor and major Guidewire software upgrades;
• Developing GUnit/Junit tests for testing business logic;
• Managing projects, programs, and teams of various sizes;
• Leading a team of developers and working with both onshore & offshore teams in different time zones.
• Architecting and creating solution designs and effectively presenting solution architecture with various options and estimates; Assisting in GOSU code reviews, code cleanups and helping to perform sprint demos;

Certification(s) Preferred:

Guidewire Certifications in PolicyCenter

As a Lead Artificial Intelligence Engineer at Leapfrog Technology, you will be at the forefront of shaping the future of data-driven solutions. You'll lead a talented team, drive the development of innovative AI projects, and work collaboratively across functions to turn complex business challenges into actionable insights.

Key Responsibilities:

● Leadership Excellence: Lead and inspire a team of AI Engineers and Data Scientists, fostering a culture of innovation, collaboration, and continuous growth.

● End-to-End Ownership: Take full ownership of the AI project lifecycle, from ideation and design to development, deployment, and maintenance.

● Technological Innovation: Explore and assess emerging technologies to enhance the performance, maintainability, and reliability of AI systems.

● Engineering Best Practices: Apply robust software engineering practices to AI, including CI/CD pipelines, automation, and quality assurance.

● Architectural Leadership: Collaborate with technology experts to make informed architectural decisions, and ensure thorough technical documentation.

● Risk Mitigation: Proactively identify and address project risks, conduct root cause analysis, and implement preventive measures.

● Cross-functional Collaboration: Engage closely with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers, to deliver impactful data-driven solutions.

● Continuous Learning: Stay at the cutting edge of data science, ML, and AI developments, and leverage emerging technologies to solve complex business problems.

● Mentorship and Growth: Coach and motivate team members, identify training needs, and foster their professional development.

● Organizational Excellence: Actively uphold and promote the company's culture, processes, and standards to ensure consistent excellence in our work.

Job requirements

Education and Experience:

• A degree (Masters preferred) in Computer Science, Engineering, Artificial Intelligence, Data Science, Applied Mathematics, or related fields.
• Minimum 6+ years of hands-on experience in AI/ML or Data Science, preferably in real industry settings, with a track record of building data products that have positively impacted customer satisfaction and revenue growth.

Technical Skills:

• Proficiency in a wide range of Machine Learning techniques and algorithms, with the ability to apply advanced analytics methods, including Bayesian statistics, clustering, text analysis, time series analysis, and neural networks on large-scale datasets.
• Expertise in at least one specialized area of application, such as Computer Vision or Natural Language Processing (NLP). (NLP Expertise preferred)
•  Strong programming skills in Python, including expertise in the data ecosystem (Numpy, Scipy, Pandas, etc.) or equivalent skills in languages like R, Java, Scala, or Julia, with a focus on producing production-quality code.
• Hands-on experience with popular ML frameworks like Scikit-Learn, PyTorch, or TensorFlow.
• Expertise with Generative AI and Large Language Models (LLMs) along with their implementation in real-life applications.
• Experience building end-to-end ML systems (MLOps).
• Experience in deploying code in web frameworks such as Flask, FastAPI or Django.
• Experience working in a cloud environment like AWS, Azure, or GCP for ML work.
• Good grasp of SQL/NoSQL databases and scripting skills, particularly within analytics platforms and data warehouses.
• Good grasp of software engineering concepts (SDLC, Version Control, CI/CD, Containerization, Scalability and so on), programming concepts, and tools/platforms like Git and Docker.
• Bonus: Experience with Big Data technologies such as Apache Spark, Kafka, Kinesis, and cloud-based ML platforms like AWS SageMaker or GCP ML Engine.
• Bonus: Experience with data visualization and dashboard tools like Tableau or Power BI.

    Soft Skills:

• Highly motivated, self-driven, entrepreneurial mindset, and capable of solving complex analytical problems under high-pressure situations.
• Ability to work with cross-functional and cross-regional teams.
• Ability to lead a team of Data/AI professionals and work with senior management, technological experts, and the product team.
• Excellent written and verbal communication skills, comfortable with client communication.
• Good leadership skills - ability to motivate and mentor team members, ability to plan and make sound decisions, ability to negotiate tactfully with the client and team.
• Results-oriented, customer-focused with a passion for resolving tough technical and operational challenges.
• Possess excellent analytical and problem-solving abilities.
• Good documentation skills.
• Experienced with Agile methodologies like Scrum/Kanban

US EQUITY DEALER

Roles and Responsibilities

Handling customer request for trading, generating various reports and Research on fundamental and technical of the stocks.

1. Placing trade orders on client’s behalf

2. Reporting net position to clients

3. Special trading activities

4. Daily, Weekly & Monthly market activity report

5. Updating daily various indexes on excel for charting

6. Watching strength scores on Multi charts and took decisions based on scores

7. Prepare various reports like AUM Performance, Strategy wise Summary

Required Candidate profile

· Strong analytical skills and ability to work in teams.

· A thorough understanding of financial markets, their behavior, movements and expectations with respect to market.

· Ability to process several inputs provided by research team and other sources and apply them to the specific context of several clients thus generating insights for clients

● Work experience as a front end developer
● Good Understanding of Angular/React and Javascript
● Experience working with SQL & NoSQL Databases
● Hands on experience with front-end languages and technologies, such as JavaScript,
HTML5, CSS3, etc.
● Solid understanding of object-oriented development and design patterns.
● Experience in Version Control Systems like GIT, Bitbucket.

Ideal Candidates will:
● Possess Strong sense of ownership
● Have an ability to work in high energy teams and drive results
● Have Good communication and documentation skills
● Enjoy sharing knowledge and eager to keep developing themselves