11+ Database performance tuning Jobs in Pune | Database performance tuning Job openings in Pune

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 Title: Product Owner – Payments & Funds Transfer

Location: Pune, India

Experience: 5+ Years

Employment Type: Full-time

Job Summary:

We are looking for a skilled and driven Product Owner with proven experience in business and systems analysis within the Payments and Funds Transfer domain. The ideal candidate will possess deep domain knowledge of SWIFT, Clearings, RTGS, and familiarity with SEPA, CHIPS, and Fedwire. You will serve as the key liaison between business stakeholders and technical teams to define, prioritize, and deliver impactful product features in a fast-paced financial services environment.

Key Responsibilities:

• Act as the primary point of contact for product features and roadmap in the Payments domain.
• Gather, analyze, and translate business and system requirements into detailed user stories and product backlogs.
• Collaborate with cross-functional teams including developers, QA, business analysts, and stakeholders.
• Own and manage the product backlog; prioritize features based on business value and technical feasibility.
• Conduct gap analysis, define workflows, and ensure business rules and compliance requirements are captured.
• Participate in agile ceremonies such as sprint planning, reviews, and retrospectives.
• Provide subject matter expertise in payment systems, clearing mechanisms, and regulatory compliance.

Required Skills & Experience:

• Minimum 5 years of experience as a Product Owner or Business/System Analyst in the Payments/Funds Transfer domain.
• Strong understanding of SWIFT, RTGS, and Clearing Systems.
• Working knowledge of SEPA, CHIPS, Fedwire is a plus.
• Proven experience translating business needs into functional and technical specifications.
• Familiarity with Agile/Scrum methodology and tools like Jira, Confluence, etc.
• Excellent communication, stakeholder management, and problem-solving skills.
• Bachelor’s degree in Computer Science, Finance, Business, or related field.

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

• 5+ years of experience as a Full Stack front end developer
• Proficient understanding of web markup, including HTML5, CSS3.
• Good understanding of client-side scripting and advanced JavaScript libraries/frameworks, AngularJS
• Good understanding of asynchronous request handling, knowledge of AngularJS practices and hand on implementation of complex AngularJS applications, directives, controllers, services.
• Good understanding of AJAX and JavaScript Dom manipulation Techniques.
• Experience in JavaScript build tools like grunt or gulp.
• Proficient with the JavaScript language and its modern ES6+ syntax and features.
• Proficient with .NET framework and its core principles
• Proficient understanding of code versioning tools, such as GIT/Bitbucket.
• Critical thinker and problem-solving skills.
• Good time management skills.
• Great interpersonal and communications skills.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.