Storage Engineer(L3)

Role: SDET

Core Testing Competencies

• Strong understanding of STLC and Agile methodologies
• Experience in Integration, System, UAT, Regression, and Sanity testing
• Hands-on experience in E-commerce application testing
• API testing using tools like Postman / SoapUI
• Mobile testing on iOS and Android (real devices/emulators)
• Cross-browser web testing

Automation Skills

• Designing and maintaining automation frameworks:
• Page Object Model (POM)
• Data-Driven and Keyword-Driven frameworks
• Programming languages: Java, JavaScript
• Web automation: Puppeteer
• Mobile automation: Appium, WebdriverIO
• CI/CD integration using Jenkins
• Backend automation using JUnit (good to have)

Tools & Technologies

• Test management & documentation: Jira, Confluence
• Defect tracking: Jira, Excel
• Proxy tools: Charles
• Databases: SQL (MySQL, PostgreSQL, Oracle) for backend validation
• Browser debugging & network inspection: Chrome DevTools

Other Key Skills

• Test documentation and bug reporting
• RTM (Requirement Traceability Matrix)
• Strong analytical and problem-solving skills

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

What you need to have:

Role : Business Development Manager

Department : Sales

Location : Gurgaon (Sector 58) - Work from Office - 6 Days Working

Experience : Should have worked in edtech industry or in a company with inside sales

Roles & Responsibilities:

• Manage a team of 25-30 BDAs who will be remotely working across different cities in India
• Achieve sales targets which will be defined every month
• Drive sales operation efficiency by ensuring overall funnel movement starting from lead generation to pipe building to closures
• Own cash collection targets for the team
• Contribute towards growth of business and brand building across tier 2/3 cities in the country
• Be the eyes and ears for the company in terms of understanding customer needs and suggesting product improvements needed to grow

Requirements:

• 4-6 years of experience in managing large teams of sales
• Strong experience in managing remote working teams
• Managed business of at least 50 lakhs INR in a month
• MBA preferred but not mandatory
• Highly target oriented and an excellent task master meaning he/she can get things executed through BDAs
• Strong in review and understanding of sales operations processes

Job Position: JAVA Software Engineer
Job Location: Bangalore

Experience: 2 to 12 years

Job Responsibilities:
• Responsible for developing Web Applications using J2EE components.
• Responsible for developing standalone applications using Core Java and JDBC.

Desired Qualification: BE / B.Tech / MCA / MSc in Computer Science or IT

Added advantage: Sun Certified Java Programmer (SCJP), Sun Certified Web Component Developer (SCWCD) certification

Desired Skills:

• Strong skills in JAVA programming languages and focus specially on the following areas Servlets, JSP, Web Services, Struts framework, JDBC/JPA/mybatis (ibatis)/Hibernate, Threads, Collections and Design Patterns.
• Strong skills in web technologies HTML 4/5, JQuery, AJAX, Java Script and CSS.
• Thorough understanding of Object Orientation.
• Above average skills in SQL with familiarity in any of the standard RDBMS – MySQL, MSSQL or Oracle.
• Must have good written and oral communication in English language.
• Must be completely hands-on and an individual contributor and a self-starter; must be able to complete assignments (suitable to his/her experience) with minimal assistance.
• Very good at Analytical and Logical skills.
• Solid understanding of the web development lifecycle.
• Ability to learn quickly and deliver software on time.