Field Sales

• Design and develop interactive dashboards and reports using Power BI Desktop and Power BI Service.
• Connect, clean, and transform data from multiple sources including Excel, SQL databases, SharePoint, APIs, and cloud-based data sources.
• Write DAX measures, calculated columns, and basic Power Query transformations to support business KPIs.
• Collaborate with business stakeholders to understand reporting requirements and convert them into clear visual dashboards.
• Ensure data accuracy, consistency, and quality across reports and dashboards.
• Support the maintenance, troubleshooting, and optimisation of existing Power BI reports.
• Assist in creating reusable data models, semantic models, and reporting templates.
• Document report logic, data sources, data models, and transformation steps for knowledge sharing.
• Participate in team meetings, sprint planning, requirement discussions, and review cycles.
• Explore and support the use of Power BI MCP servers or similar integration approaches for connecting Power BI with AI-assisted workflows and external tools.
• Assist in evaluating how AI tools can be used for faster data analysis, DAX generation, report documentation, insight generation, and dashboard development.
• Support basic integration of Power BI reports into web applications or internal portals, where required.

Required Skills and Qualifications

• Education: BE / BTech / BSc student in Computer Science, Information Science, Data Science, IT, or related field.
• Experience: Fresher / up to 1 year of academic, internship, or project experience.
• Strong interest in Business Intelligence, Data Analytics, Reporting, and Automation.
• Ability to learn quickly and work in a collaborative team environment.

Technical Skills

• Hands-on experience or academic project exposure to Power BI Desktop and Power BI Service.
• Basic understanding of DAX and Power Query / M language.
• Familiarity with data modelling concepts such as star schema, relationships, hierarchies, fact tables, and dimension tables.
• Working knowledge of Microsoft Excel for data preparation and analysis.
• Basic SQL knowledge for querying relational databases.
• Exposure to data sources such as Excel, CSV, SQL Server, SharePoint, REST APIs, or cloud databases.
• Understanding of dashboard design principles, including layout, filters, drill-through, bookmarks, and user-friendly navigation.
• Basic knowledge of Power BI workspace, publishing, refresh schedules, access permissions, and report sharing.
• Good understanding of data validation, data quality checks, and reconciliation.
• Awareness of Power BI MCP servers, AI agents, or tool-based integrations will be an added advantage.
• Basic knowledge of web application development using HTML, CSS, JavaScript, React, Angular, or similar technologies is good to have.
• Familiarity with embedding Power BI reports into web applications or portals is an added advantage.
• Exposure to AI tools such as ChatGPT, Copilot, or similar platforms for productivity, analytics, documentation, or code assistance is desirable.
• Basic understanding of APIs, JSON, and data integration concepts is good to have.

Good to Have Skills

• Knowledge of Microsoft Fabric, OneLake, Dataflows, or Power BI semantic models.
• Exposure to Python or R for data analysis.
• Understanding of Git or basic version control practices.
• Experience with academic or personal dashboard projects.
• Ability to use AI responsibly for generating insights, improving DAX, creating documentation, and accelerating analysis.
• Interest in automation, AI-assisted reporting, and modern BI platforms.

Soft Skills

• Strong attention to detail with a structured and analytical approach to problem-solving.
• Good communication skills with the ability to explain data insights to non-technical stakeholders.
• Curiosity to explore new tools, technologies, and AI-enabled workflows.
• Ability to work independently as well as in a team.
• Willingness to learn and adapt in a fast-paced environment. 

• Solid understanding of IP network and TCP/IP
• Minimum of 7+ years’ work experience in IT
• Minimum of 4+ years experience as DevOps Enginneer
• Good interpersonal skills and communication written and oral.

Technologies & Languages

• Azure
  • Databricks
  • SQL Sever
  • ADF
• Snowflake
  • Data Cleaning
  • ETL
• Azure Devops
• Intermediate Python/Pyspark
• Intermediate SQL
• Beginners' knowledge/willingness to learn Spotfire
• Data Ingestion
• Familiarity with CI/CD or Agile

Must have:

• Azure – VM, Data Lake, Data Bricks, Data Factory, Azure DevOps
• Python/Spark (PySpark) 
• SQL

Good to have:

• Docker
• Kubernetes
• Scala

He/she should have a good understanding in:

• How to build pipelines – ETL and Injection
• Data Warehousing
• Monitoring

Responsibilities:

Must be able to write quality code and build secure, highly available systems.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc with the guidance.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Monitoring performance and advising any necessary infrastructure changes.

Defining data retention policies.

Implementing the ETL process and optimal data pipeline architecture

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Create design documents that describe the functionality, capacity, architecture, and process.

Develop, test, and implement data solutions based on finalized design documents.

Work with data and analytics experts to strive for greater functionality in our data systems.

Proactively identify potential production issues and recommend and implement solutions

Desired Candidate Profile

• Qualification -B.E/ B.Tech and/or MBA
• Experience of 5-9 years in related industry/ product categories
• Keen interest/ knowledge of sourcing and procurement techniques as well as a dexterity in reading the market
• Exposure in developing and working with factories in China is essential
• Talent in negotiations and networking
• Aptitude in decision-making and working with numbers
• Strong verbal and written communication skills
• Demonstrated ability to analyze and resolve problems

Skills

• Have published at least one original React JS Application.
• Experience with third-party libraries and APIs
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.

Roles 

Should be able to single-handedly build performant mobile apps on the React JS platform. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities 

• Build pixel-perfect, buttery smooth UIs across web platforms.
• Leverage APIs for deep integrations with web platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Writing application interface codes using JavaScript following react.js workflows.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.

• Manage and build an overall email marketing strategy.
• Create various email lists and campaigns.
• Test every campaign's success.
• Determine email marketing KPIs.
• Develop and present reports on a weekly basis.
• Develop a lead generation strategy.
• Create smart email lists.
• Increase email subscriptions.
• Analyze data to get smart insights.
• Ensure marketing message is conveyed clearly and delivered properly to prospects.
• Ensure messages are mobile-friendly.
  Follow up on interested respondents.
• Distributing emails through the use of automation software.