Product Delivery Manager

About Wissen Technology

Wissen Technology, established in 2015 and part of the Wissen Group (founded in 2000), is a specialized technology consulting company. We pride ourselves on delivering high-quality solutions for global organizations across Banking & Finance, Telecom, and Healthcare domains.

For more details:

Website: www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: Wissen Technology

Role: Java Backend Developer with AWS

Key Responsibilities

● Design & Development: Build robust, scalable, and maintainable backend services using Java 17+ and the Spring Boot ecosystem.

● API Design: Develop and document RESTful for consumption by web and mobile frontends.

● Database Management: Optimize complex queries and design schemas for relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, DynamoDB) databases.

● Microservices Architecture: Contribute to the migration or maintenance of microservices, ensuring high availability and low latency.

● Code Quality: Perform thorough code reviews and write comprehensive unit, integration, and functional tests (JUnit, Mockito).

● Cloud & DevOps: Deploy and manage applications in AWS using Docker and Kubernetes.

● Collaboration: Work closely with Frontend Developers, Product Managers to translate business requirements into technical specifications.

Required Technical Skills

● Java Mastery: Deep understanding of Core Java, Multithreading, and Stream API.

● Frameworks: Extensive experience with Spring Boot, Spring Security, and Spring Data JPA/Hibernate.

● Cloud Experience: Proficiency with cloud-native services (e.g., AWS Lambda, S3, RDS, or SQS).

● Messaging: Experience with message brokers like Apache Kafka for asynchronous processing.

● CI/CD: Hands-on experience with Jenkins, GitLab CI, or GitHub Actions.

● Version Control: Expert-level knowledge of Git and branching strategies.

Qualifications & Soft Skills

● Experience: 5+ years of professional experience in backend development.

● Problem Solving: Ability to debug complex production issues and performance bottlenecks.

● Communication: Excellent verbal and written communication skills—vital for a remote/hybrid contractor setup.

● Adaptability: Proven ability to quickly learn new codebases and business domains.

Hi,

We are seeking a senior data leader with deep functional expertise in Salesforce Sales and Service domains to own the enterprise data model, metrics, and analytical outcomes supporting Sales, Service, and Customer Operations.

This role is business‑first and data‑centric. The successful candidate understands how Salesforce Sales Cloud and Service Cloud data is generated, evolves over time, and is consumed by business teams, and ensures analytics accurately reflect operational reality.

Snowflake serves as the enterprise analytics platform, but Salesforce domain mastery and functional data expertise are the primary requirements for success in this role.

Core Responsibilities

Salesforce Sales & Service Data Ownership

·                 Act as the data owner and architect for Salesforce Sales and Service domains.

• Own Sales data including leads, accounts, opportunities, pipeline, bookings, revenue, forecasting, and CPQ (if applicable).
• Own Service data including cases, case lifecycle, SLAs, backlog, escalations, and service performance metrics.
• Define and govern enterprise‑wide KPI and metric definitions across Sales and Service.
• Ensure alignment between Salesforce operational definitions and analytics/reporting outputs.
• Own cross‑functional metrics spanning Sales, Service, and the customer lifecycle (e.g., customer health, renewals, churn).

Business‑Driven Data Modeling

·                 Design Salesforce‑centric analytical data models that accurately reflect Sales and Service processes.

• Model sales stage progression, pipeline history, and forecast changes over time.
• Model service case lifecycle, SLA compliance, backlog aging, and resolution metrics.
• Handle Salesforce‑specific complexities such as slowly changing dimensions (ownership, territory, account hierarchies).
• Ensure data models support operational dashboards, executive reporting, and advanced analytics.

Analytics Enablement & Business Partnership

·                 Partner closely with Sales Operations, Service Operations, Revenue Operations, Finance, and Analytics teams.

• Translate business questions into trusted, reusable analytical datasets.
• Identify data quality issues or Salesforce process gaps impacting reporting and drive remediation.
• Enable self‑service analytics through well‑documented, certified data products.

Technical Responsibilities (Enabling Focus)

·                 Architect and govern Salesforce data ingestion and modeling on Snowflake.

• Guide ELT/ETL strategies for Salesforce objects such as Opportunities, Accounts, Activities, Cases, and Entitlements.
• Ensure reconciliation and auditability between Salesforce, Finance, and analytics layers.
• Define data access, security, and governance aligned with Salesforce usage patterns.
• Partner with data engineering teams on scalability, performance, and cost efficiency.

Required Experience & Skills

Salesforce Sales & Service Domain Expertise (Must‑Have)

·                 Extensive hands‑on experience working with Salesforce Sales Cloud and Service Cloud data.

• Strong understanding of sales pipeline management, forecasting, and revenue reporting.
• Strong understanding of service case workflows, SLAs, backlog management, and service performance measurement.
• Experience working directly with Sales Operations and Service Operations teams.
• Ability to identify when Salesforce configuration or process issues cause reporting inconsistencies.

Data & Analytics Expertise

·                 10+ years working with business‑critical analytical data.

• Proven experience defining KPIs, metrics, and semantic models for Sales and Service domains.
• Strong SQL and analytical skills to validate business logic and data outcomes.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or MicroStrategy.

Platform Experience 

·                 Experience using Snowflake as an enterprise analytics platform.

• Understanding of modern ELT/ETL and cloud data architecture concepts.
• Familiarity with data governance, lineage, and access control best practices.

Leadership & Collaboration

·                 Acts as a bridge between business stakeholders and technical teams.

• Comfortable challenging requirements using business and data context.
• Mentors engineers and analysts on Salesforce data nuances and business meaning.
• Strong communicator able to explain complex Salesforce data behavior to non‑technical leaders.

Thanks,

Ampera Talent Team

Assist in content creation for Instagram, Facebook, and other platforms.

Help plan and execute social media campaigns.

Monitor and analyze engagement metrics.

Collaborate with the marketing team on content ideas.

Engage with our community by responding to comments and messages.

Assist with influencer outreach.

Requirements:

Passion for social media and skincare.

Basic knowledge of Instagram, Facebook, TikTok.

Strong communication and organizational skills.

Creativity and a keen eye for design.

Previous experience in social media management is a bonus.

Internship Duration: 3 months with potential for full-time hire.

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

Dear Job Seekers...!

Greetings from Vimishaitech..!

Job Title: Front End Developer

Locations: Coimbatore, Tamil Nadu, India

Minimum Experience: 5

Maximum Experience: 8

Position Overview:

Join our multinational team at the forefront of innovation! We are seeking a Senior Front End Developer with 5-8 years of experience, a tech virtuoso fluent in HTML, CSS, JavaScript, React, Angular, and other leading frameworks.

Responsibilities:

- Lead the development of sophisticated user interfaces for our global platforms.

- Collaborate closely with cross-functional teams to deliver high-impact solutions.

- Mentor junior developers and contribute to a culture of continuous learning.

Qualifications:

- 5-8 years of hands-on experience in front-end development.

- Expertise in HTML, CSS, JavaScript, React, Angular, and other modern frameworks.

- Proven track record in delivering complex, scalable web applications.

- Strong problem-solving skills and meticulous attention to detail.

- Proficiency in version control systems (Git).

Experience and Salary:

As par excellence in industry.

Company Description

Vimisha ITech was founded in 2012 and has become a leading software provider with a team of skilled professionals from diverse domains. The company is committed to delivering exceptional IT solutions to meet the business requirements of its clients. They strive to be the leading service provider in the burgeoning global IT market, catering to the demands of the worldly market tendency.

#SeniorFrontEndDeveloper #TechInnovation #GlobalOpportunity #HiringNow #WebDevelopmentJobs

1.Drive monthly sales achievements by connecting with working professionals on phone calls.

2. Understand needs and requirements of prospects and help them select the right program

3. Develop in-depth knowledge of product features and benefits and become “go-to” resource when it comes to

product knowledge

4. Help customers understand the USPs of the program and build trust

5. Proactively follow up with prospects to help them with any additional information required for closing sales

6. Maintain detailed data of each prospect data in CRM and lead tracking tools.

Expertise in developing SAPUI5 applications using ADT(Eclipse)/Web IDE, JQuery, Java Script,XML,HTML5 & CSS3 And consuming the data by using Net weaver gateway services

• Expertise in developing NetWeaver gateway services(SEGW)

• Expertise in Integrating Gateway OData/JSON services with UI5 Apps, System Landscape, Architecture, SSO, Security Set Up and Gateway Configuration

• Fiori Package Configuration on SAP Gateway & Backend ECC App Configuration

• Customization & Extension of Fiori Apps

• Drive the System Landscape, Architecture, Security, Users Set Up

• Configure Gateway & Fiori Infrastructure (with support from Basis Team)

• Fiori App Configuration ( SAP Gateway & S/4HANA System)

• Work with Functional and Technical Resources in Setting up the S/4HANA Backend

• Set User Roles, Profiles, Apply Notes & Fixes in ABAP Systems

• Roll out Apps to Business Users for Testing

• Expertise in coding for consuming data for UI5 Apps through Netweaver Gateway OData/JSON services.

• Expertise in extending OData service/OData models

• Expertise in customizing/Extending the standard Fiori Apps

• Expertise in creating HANA Schemas, Packages, Attribute Views, Analytical Views, Calculation Views with HANA LIVE, Attribute mapping, creation of calculated measures, Calculated attributes, Input parameters, Variables, Restricted measures, Constant columns, Currency Unit conversion, stored procedures and maintaining analytical privileges, and involved in Data Provisioning using SLT and BODS(data services) meta data import. Involved in Export/Import of models, validations.

• Expertise in using AMDP, CDS views, ADBC, External views

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

We’re looking for a Senior Android developer who will take a key role in our team. You will be working alongside other engineers and developers, collaborating on the various layers of the infrastructure.

Responsibilities:

• Design and build advanced application features for the Android platform.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work with outside data sources and APIs.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Resolving/ fixing bugs and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Requirements:

• Proven software development experience and Android skills development.
• Proven working experience in Android app development and Kotlin.
• Have published at least one original Android app.
• Experience with Android SDK.
• Experiece with Flutter Development
• Experience working with remote data via REST and JSON.
• Experience with third-party libraries and APIs.
• Working knowledge of the general mobile landscape, architecture, threading, offline data storage, trends, and emerging technologies.
• Solid understanding of the full mobile development life cycle.