Principal Engineer - Java

We are looking for motivated Power Platform Interns with an interest in Power Apps and Power Automate to join our team remotely for a 3-month internship. This role is ideal for students or graduates who want hands-on experience in building low-code applications, workflow automation, and process optimization. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation. 

We are seeking a highly analytical and detail-oriented Senior Data Analyst to lead data management, reporting, automation, and system development initiatives across the organization. The role focuses on transforming raw data into meaningful insights, designing and implementing automated systems, strengthening data structures, and supporting cross-functional teams with accurate, actionable intelligence to drive strategic and operational business decisions.

Key Responsibilities

1. Data Management & Reporting

• Collect, clean, validate, and consolidate data from multiple internal and external sources.
• Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.
• Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

• Manage and regularly update internal databases, spreadsheets, and reporting systems.
• Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.
• Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

• Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.
• Translate data findings into clear, actionable insights and recommendations to support strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

• Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.
• Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.
• Proactively suggest new automation tools, system enhancements, or integrations to improve efficiency, accuracy, and scalability.
• Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.
• Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

• Collaborate with Sales, HR, Finance, Operations, and other departments to understand reporting and data requirements.
• Provide support for ad-hoc analysis, custom reports, and special data requests.
• Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

• Maintain complete and updated documentation for MIS processes, reports, data models, automation logic, and system changes.
• Ensure compliance with company data governance policies and applicable data protection standards.

System Development & Data Structuring Responsibilities

• Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.
• Review existing manual and digital data systems to identify operational gaps, risks, and improvement opportunities.
• Recommend structured data models, reporting formats, and storage solutions aligned with business requirements.
• Coordinate with department heads to define data structures, access levels, and reporting standards.
• Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP integrations) with minimal operational disruption.
• Design structured data formats and role-based access controls to ensure secure and organized data management.
• Train employees on newly implemented systems and provide post-implementation support.
• Monitor system performance, resolve issues, and continuously improve systems based on user feedback and organizational growth.

Qualifications & Experience

• Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.
• 3–5 years of experience in data analytics, reporting, or system automation roles.
• Strong analytical thinking, logical reasoning, and problem-solving abilities.
• High attention to detail with excellent organizational and documentation skills.

Technical Skills (Must Have)

• Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts
• Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)
• BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)
• Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema
• Google Apps Script: Automation in Google Sheets, custom functions, triggers, API integrations, workflow optimization

Position Title: Data Science Trainer

Company: TeksAcademy

Location: Hyderabad

Employment Type: Full-Time (Onsite)

About the Role:

We’re looking for an experienced and passionate Data Science Trainer to lead learning initiatives, impart industry-relevant knowledge, and build foundational and advanced skills in data science for our learners. As a Data Science Trainer, you’ll guide individuals or groups through the concepts and techniques needed to succeed in data analysis, machine learning, and data-driven decision-making.

Key Responsibilities:

• Conduct Data Science Training: Lead both online and in-person training sessions on a variety of data science topics such as statistics, programming (Python, R), machine learning, data visualization, and more.
• Create and Curate Course Materials: Develop and update educational resources, such as slides, tutorials, exercises, and datasets, ensuring they align with the latest industry standards.
• Facilitate Hands-On Learning: Engage learners with practical coding exercises and real-world problem-solving tasks to enhance their understanding of data science techniques.
• Assess and Provide Feedback: Evaluate students' progress through assessments, quizzes, and projects, giving personalized feedback to help them improve their skills.
• Stay Current with Trends: Continuously learn about emerging trends, tools, and techniques in data science, integrating these into training materials and courses.
• Provide Mentorship: Offer mentorship to students, helping them build confidence in applying data science concepts, troubleshooting issues, and building portfolios of their work.
• Collaborate and Improve: Work closely with other instructors, curriculum designers, and teams to improve and refine training programs, based on feedback and results.

Required Qualifications:

• Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience: Demonstrated experience in data science, machine learning, statistical analysis, and working with data programming languages such as Python, R, and SQL.
• Teaching Experience: Proven track record of teaching or training in a technical field, especially data science, either online or in-person.
• Technical Expertise: Strong hands-on experience with data science tools and libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Flow, etc.

• Proficient in React, JavaScript (ES6+), and TypeScript.
• Expertise in state management libraries (Redux, Zustand, etc.).
• Hands-on experience with react-navigation and deep linking.
• Solid understanding of Expo (both managed and bare workflows).
• Knowledge of native development (Swift/Objective-C for iOS, Java/Kotlin for Android).
• Experience with custom native module bridging and native UI integration.
• Strong debugging skills using tools like Flipper and Chrome DevTools.
• Familiarity with Jest, React Native Testing Library.
• Experience with REST APIs, GraphQL, and real-time data (WebSockets).
• Ability to manage OTA updates with EAS Update and configure EAS Build.
• Experience in app publishing and release lifecycle on both Play Store and App Store.
• Knowledge of secure storage, token handling, and app-level security practices.

A Full-Stack Developer with the experience in delivering enterprise-class services. Proficient in Java Spring Boot and React.js, with hands-on expertise in building microservices and RESTful APIs using Spring Boot. Adept at designing and developing web applications leveraging Java, React.js, TypeScript, and JavaScript. Possesses a solid understanding of database management systems and excels in debugging, troubleshooting, and providing production support for web applications. Demonstrates strong attention to detail and exceptional problem-solving abilities to ensure the delivery of high-quality software solutions. Experienced in microservices architecture and committed to the overall success of software development projects. Collaborates effectively with Product Management and Quality Assurance teams to prioritize and develop key product features.

Come be a part of our growth journey! Submit your CV to https://technorexinfoways.com/career today.

Desired Skills: React.js, JavaScript, Redux, RESTful APIs, TypeScript

Job Summary:

• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JWT Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
• Familiarity with any ReactJS testing framework is plus

Job Description:

We are looking for an Assistant Manager in our HR Team (for Employer Branding and Internal Communication) to develop and deliver innovative and effective Employer Branding roadmap and action plans to promote the company as an employer of choice to prospective hires through social media, print and other communication formats and programs. We are looking for someone who can engage well with existing employees and play an important role in internal communication.

This role reports to Head of Human Resources.

KRA:

• Developing a comprehensive and sustainable employee engagement roadmap.
• Identifying and working / liaise with third party vendors to establish an overall all framework to continuously enhance and upgrade the Employer Branding and employee engagement to the current and future requirements.
• Planning, establishing, and collaborating with stakeholders to keep the social media presence and channels related to recruitment and employer branding fresh and relevant.
• Responsible for Employee Engagement, Employee Brand Management, Event Management related to employee engagement.
• Leading the development and delivery of internal communication plans and materials and managing events and engagement plans.
• Improving the Employee Engagement Index by conceptualizing and implementing various employee development and engagement initiatives.
• Expanding the company's online presence and developing creative ways to draw prospective employees to the company's website and identifying new recruitment opportunities through social media.
• Acting as Subject Matter Expert within Employer Branding by providing the best knowledge, best practices and innovative solutions to support the business.
• Establish campus connections and drive campus engagement / relationships to build a sustainable employer Brand.
• Identify gaps and early signals of engagement interventions [through L&D, upskilling and other HR interventions] basis the engagement surveys.

Desired Skills and Competencies:

• Passionate about creating an impact in the lives of employees.
• High energy, flexible and Independent/Enthusiastic, work well with internal & external teams and be able to adapt quickly to a fast-moving environment.
• Experience and strong understanding of stakeholder management.
• Fluent in English communication (verbal & written expression).