11+ International experience Jobs in Pune | International experience Job openings in Pune

What you'll do

Greetings from Trigent Software!!

Hiring for Customer Support Executive -International Process

**Only candidates who have excellent communication can apply**

Role: Customer Support Representative

Process: Voice

Mode of Work: Work from Office

Location: Bangalore

Working Days: 5 days

Shift: US Shift

Qualification: Graduates (Fresher) & Grads and Undergrads (Exp)

Salary: 0 months to 7 months - 3 LPA

8 months to 5 years - 4.8 LPA

Responsibility:

Identify and conduct communications activities to improve agent effectiveness and increase customer satisfaction.

Create focused communications to reinforce existing processes or introduce new ones.

Help manage the tools used for agent communications.

Good verbal and written communication Minimum 0 - 4 yrs voice customer service experience (not just any customer service), having been part of escalation desk in the past would be an added benefit Work from client location in bengalore on the basis of US shift.

Rounds of Interview: VERSANT > CD > OPS

Preferred Candidates Profiles:

* Candidate should be comfortable working in US Shift

* Candidate should be comfortable working in a Contractual role

Perks and Benefits:

* 2 way cab facility

Regards,

Trigent Software

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Pune

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description:

Experience Required: 3–5years

Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)

Role Overview

We are seeking a strong Python Application Engineer to help build a next-generation Index Backtesting and Rebalance Platform.

In this role, you will design and develop deterministic, scalable calculation engines that convert financial methodologies into production-grade software.

You will work on portfolio construction, rebalancing logic, and historical simulations while consuming reference and market data from Snowflake using python as your core processing tool.

Key Responsibilities

Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.

Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.

Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.

Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.

Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.

Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.

Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.

Required Technical Capabilities

Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.

Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.

Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.

Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.

Database Skills: Strong SQL and experience consuming structured data from Snowflake.

Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.

Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.

Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM).

Technical Skills:

• Technical Skills:
• Python, PySpark, Pandas, NumPy, AWS (S3, Lambda), Apache Airflow, SQL, Financial Services Domain Knowledge, Strong Communication Skills.
• 
  

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job Description

We’re looking for a talented Social Media Executive to join our team. The ideal candidate will be responsible for planning, implementing, and monitoring our company’s social media strategy in order to increase brand awareness, improve marketing efforts, and drive engagement with our target audience. This role requires a deep understanding of social media platforms, excellent communication skills, and a creative mindset.

Roles And Responsibilities

• Create a content calendar to ensure a consistent and engaging online presence.
• Collaborate with the design and content teams to create visually appealing and informative posts.
• Use social media analytics tools to track the performance of content and campaigns.
• Plan and execute social media advertising campaigns, including budget allocation and targeting.
• Monitor and analyze ad performance, making adjustments as needed to maximize ROI.
• Stay informed about emerging social media trends, tools, and platforms.
• Stay up-to-date with industry trends and best practices to continually refine the strategy.
• Maintain Client relations & manage team.

Skills Required

• Basic knowledge of social media platforms, algorithms and paid ads.
• Ability to work independently and as part of a team.
• Job Type: Full-time
• Experience required: 0 to 1 yrs
• 
  

Industry Type: Digital Marketing

Department: Social Media Management

Employment Type: Full Time, Permanent

Education

UG: Any Graduate

PG: Any Postgraduate

Web Developer

Job Description

• The web developer will be responsible for providing full life-cycle development (design, coding, and testing) and maintenance of web-based system on Azure
• Candidate should have experience in GitHub, knowledge of DevOps is a plus
• Experienced in designing and implementing web portals, experience with DNN is a plus
• Ability to work with multiple languages including C#, ASP.Net, MVC, Javascript and related libraries, HTML, Complex SQL queries, CSS, BootStrap, JSON
• Experience in Agile project management methodology
• Developing and Delivering Excellent Web based solutions/portals/sites based on customer’s requirement within the stipulated timeline
• The candidate should be flexible to learn new technology and platform and should be creative, innovative for improvement ideas, detail oriented, diligent, and eager to learn and grow

Duties & Responsibilities:

• Understand how FTP server is setup for the site
• Understand business requirements to apply logic to integrate functionalities
• Identify and understand any technical bugs on the server, site, log files or modules and work on resolving the bugs
• Understand system/site technical requirements and suggest enhancements if applicable
• Designing, coding, unit Testing, and integration with Database
• Handle site deployment
• Designing, coding, debugging, technical problem solving, and writing Unit Test cases, etc.

Technical Expertise:

• ASP/ASP.NET/VB.NET/MVC/C#/SQL Server 2012+
• HTML, Javascript, Jquery, CSS, Bootstrap
• GitHub/DevOps, Azure
• Web API/ Web Services, Email Services

Skills and Abilities:

• Be able to work with diverse global teams and in an individual contributor role as needed
• Excellent English written and verbal communication skills (for local team and global stakeholders/team members)
• Strong task management skills including time management, and ability to manage multiple projects simultaneously
• Flexibility required to attend late evening meetings with global team members
• Attention to detail and delivering quality projects and knowledge assets

Key Responsibilities

• Identify and develop new business opportunities across target industries and

customer segments.

• Promote and sell lubrication system solutions including:

o Grease systems: Dual Line, Progressive, Multiline, Spray

o Oil systems: Pre-Jacking, HP-LP Systems, Circulating Systems

• Achieve or exceed monthly and annual sales targets across assigned territories.

• Develop and maintain strong relationships with OEMs, end-users, EPCs, and

government entities.

• Manage channel sales network by appointing, training, and supporting dealers and

sub-dealers across India.

• Participate in government tendering processes, including GeM portal-based

opportunities.

• Collaborate with internal teams (engineering, service, logistics) to ensure seamless

customer experience.

• Conduct product presentations, site visits, and customer meetings to demonstrate

value and drive engagement.

• Provide regular sales forecasts, market intelligence, and competitor analysis.

• Ensure timely collection of payments from direct customers and channel partners.

• Represent the company at industry events, expos, and exhibitions as required.

Job Summary

We are seeking a skilled Frontend Developer with expertise in React.js and React Flow to design and implement dynamic, interactive user interfaces. You will be responsible for building scalable web applications and visual workflows that empower users to interact with complex data and processes intuitively.

🛠️ Key Responsibilities

• Develop responsive and high-performance web applications using React.js
• Design and implement interactive flow-based UIs using React Flow
• Collaborate with UX/UI designers to translate wireframes into functional components
• Optimize components for maximum performance across devices and browsers
• Integrate RESTful APIs and manage application state using tools like Redux or Zustand
• Write clean, maintainable, and well-documented code
• Participate in code reviews, testing, and continuous integration processes

✅ Required Skills

• Strong proficiency in JavaScript (ES6+) and React.js
• Hands-on experience with React Flow for building node-based editors or workflow diagrams
• Familiarity with state management libraries (Redux, Zustand, Recoil)
• Experience with HTML5, CSS3, and modern CSS frameworks (e.g., Tailwind, Styled Components)
• Understanding of component lifecycle, hooks, and functional programming
• Knowledge of Git, CI/CD pipelines, and agile development practices

💡 Preferred Qualifications

• Experience with TypeScript
• Familiarity with backend integration (Node.js, GraphQL, etc.)
• Exposure to data visualization libraries (D3.js, Chart.js)
• Understanding of accessibility and performance optimization

• Expected Salary bands

  3 - 5years - upto 8lpa
  5 - 7years - upto 11lpa
  7 - 9years - upto 14lpa
  9 - 12 years - upto 16lpa

• Minimum 2 years of hands on experience in Automation testing
  
  

• Experience with either or more of these tools

  Selenium-Web driver, Selenium Grid, Selenium Page Object Model, Page Factory concept
  JS based automation tools like Webdriver.io, Protractor, Cypress, Jasmine, Karate, etc.
  API automation tools like Karate, SoapUI, Postman, RestAssured, etc.
  Mobile automation tools like Appium, Calaba.sh, SauceLabs, BrowserStack, etc.
  Commercial tools like UFT, Ranorex, TestComplete, etc.

• Must have hands on experience in using either or more of

  Programming/Scripting languages: Java, C#, Python, JavaScripting
  Reporting frameworks: ReportPortal.io, ExtentReports, TestNG, Allure Reports, etc.

• Must be aware of effective use of one or more of

  execution tools like TestNG, NUnit, Junit, MBUnit, MSTest
  source control management tools like git, TFS, Bitbucket, Azure Repos, etc.
  build tools like Maven, Ant, Graddle, MS Build, circleCI, Azure Pipeline, etc.
  continuous integration tools like Jenkins, Bamboo, TeamCity, Dockers, etc.

• Must have experience of designing and implementing test frameworks like Data driven, Keyword driven or Hybrid.

• Should be able to write basic DDL, DML command using any database like Oracle, MySQL, MS SQL, PostGreSQL, etc.

• Good to have experience in automating different layers (Front end, backend, web-services/API) of application using different automation approach.

• Good to have exposure to various
  test methodologies like BDD, TDD, ATDD will be a plus
  test management tools like AzureTestPlans, Zephyr, Xray, Jira, etc.