UX Researcher

Job Title : Lead – Microsoft Dynamics CRM

Location : Preferred – Hyderabad / Bangalore (Any Deloitte USI Location)

Work Mode : Hybrid (2–3 days Work From Office)

Work Timing : 10:00 AM – 7:00 PM or 11:00 AM – 8:00 PM IST

No. of Positions : 2

Interview Rounds : L1 + L2 Technical (Deloitte Internal)

Interview Mode : Virtual

Notice Period : Immediate to 15 days preferred

Role Overview :

We are looking for experienced and hands-on Lead Microsoft Dynamics CRM Professionals to join our team. The ideal candidates should have a strong background in Microsoft Dynamics CRM development with solid experience in leading teams, conducting code reviews, and designing technical solutions.

Mandatory Skills :

• Minimum 7+ Years of total IT experience with at least 5+ Years of relevant experience in Microsoft Dynamics CRM.

Hands-on experience with :

• .NET Development
• Plugin Development
• JavaScript
• Power Automate
• Power Pages and Canvas App Development.
• Proven technical leadership experience with team handling, code reviews, and technical design/solutioning.

Good to Have :

• Exposure to Azure technologies such as Logic Apps and Azure Functions.
• Experience in deployment activities and release management.

Job Title: Technical Lead / Project Manager

Location: Indore /Chennai

Experience: 6–12 Years

Key Responsibilities:

• Lead and mentor development teams through all phases of the software development lifecycle.
• Act as the main point of contact for clients; manage communication, expectations, and satisfaction.
• Define project scope, objectives, timelines, and deliverables in collaboration with stakeholders.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in software development, with at least 2+ years in a leadership/project management role.
• Strong technical background in web and/or mobile technologies (e.g., JavaScript, React, Node.js, PHP, Python, iOS/Android).

Job Summary

We are looking for an experienced Java Full Stack Developer with strong expertise in Java, React.js, and AWS to design, develop, and maintain scalable web applications. The ideal candidate should have experience building high-performance applications and working across both front-end and back-end technologies.

Key Responsibilities

• Develop and maintain full-stack web applications using Java and React.js
• Design and build RESTful APIs and microservices using Java frameworks
• Develop responsive and interactive frontend interfaces using React.js
• Work with AWS services for deployment, scalability, and infrastructure
• Collaborate with cross-functional teams including product managers, designers, and QA
• Write clean, maintainable, and efficient code following best practices
• Participate in code reviews, testing, debugging, and performance optimization
• Implement CI/CD pipelines and cloud-based solutions

Required Skills

• Strong experience in Java (Spring Boot / Spring Framework)
• Good knowledge of React.js, JavaScript, HTML, CSS
• Experience building REST APIs and microservices architecture
• Hands-on experience with AWS services (EC2, S3, Lambda, RDS, etc.)
• Familiarity with Git, CI/CD pipelines, and Agile development
• Experience with database technologies (MySQL, PostgreSQL, or MongoDB)

Preferred Skills

• Experience with Docker / Kubernetes
• Knowledge of serverless architecture
• Experience working in cloud-native environments
• Understanding of system design and scalable architecture

Job Title: Developer

Work Location: Pune, MH

Skills Required: Azure Data Factory

Experience Range in Required Skills: 6-8 Years

Job Description: Azure, ADF, Databricks, Python

Essential Skills: Azure, ADF, Databricks, Python

Desirable Skills: Azure, ADF, Databricks, Python

Qrata is a talent startup that partners with fast moving digital companies globally to scale their teams. Since 2016, we have served over 100 funded startups ( top brands, some unicorns too!) hire teams in the spaces of engineering, growth, design and product. Our mission is to be the top curated talent marketplace while fostering a collaborative, diverse, and inclusive workplace.

About the role: Qrata is looking to hire a recruiter who should be an experienced, motivated that can help source and hire for top funded companies globally. Ideal candidate is a high- energy, strong communicator with a knack for engaging experienced professionals.

Responsibilities:

• Responsible for End to End Recruitment (Sourcing, screening of profiles, scheduling of interviews).

• Responsible for understanding and analyzing the requirements in different technical

skill set categories.

• Creative sourcing methods like Linked-In, internal database, referrals, head-hunting,

networking.

• Take steps to ensure positive candidate experience

• Willing to take challenges in Recruitment & closing the demands on time.

Candidate requirements:

• The ideal candidate should have zeal to grow in technical Recruitment world.

• Must have IT recruitment/Non IT hiring experience and expertise in Screening,

shortlisting, negotiation and coordinating with the Recruitment process.

• Experience in working on Job Portals is mandatory

• Experience in full-cycle Recruiting, Sourcing

• Proficient in the use of social media and job boards

• Aggressive and talented professionals with excellent communication skills.

• Well-organized & capable of managing Quality and Volumes of open positions

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

We are looking for a methodical Market Research Analyst to discover customer preferences and statistical data in order to support customers during their decisionmaking process regarding product designs, prices, and promotions. The ideal candidate will be able to analyze autonomously qualitative data, trends, strategies, and competition aiming at increasing competitiveness.

SKILLS YOU MUST HAVE: Growth Consulting, Competitive Benchmarking, Secondary Research, Market Sizing Strategy Consulting, Company Analysis, Swot Analysis, Primary Research, Market Research, Industry Analysis

RESPONSIBILITIES:

• Understanding business objectives and designing surveys to discover prospective customers’ preferences
• Perform a valid and reliable market research SWOT analysis
• Provide competitive analysis on various companies market offerings, identify market trends, pricing/business models, sales and methods of operation
• Collecting data on customers, competitors and marketplace and consolidating information into actionable items, reports, and presentations
• Carry out quantitative and/or qualitative research
• Analyze and interpret data to identify patterns and solutions, including surveys and focus group transcripts
• Utilize statistical software to manage and organize information monitoring the progress of research projects
• Design specific research methods such as questionnaires and surveys
• Develop industry-specific, vertical-level nuances as the function matures
• Maintaining the research knowledge repositories with up-to-date content
• Actively develop domain expertise, leveraging subject matter experts, and external sources
• Remain fully informed on market trends, other parties researches and implement best practices

Skill requirement:

• 5+ years experience in the market research or related field
• Experience in conducting research and business statistics, exposure to interacting with senior leaders.
• MBA or equivalent
• Excellent knowledge of statistical packages (SPSS, SAS or similar), databases and MS Office
• Business research includes strategy research, country analysis, competitor analysis, market analysis, financial analysis, qualitative and quantitative benchmarking, Porter's five forces, SWOT analysis, company analysis, industry analysis, and other
• Excellent Research skills and experience of working on research tools & databases
• Good summarization skills
• Good executive presence, ability to deal with senior partners
• Ability to work independently, with minimum supervision, and with geographically dispersed teams
• Good problem-solving skills
• Think strategically – should be able to understand the larger picture
• Flexible - ability to adapt to changing dynamics quickly