📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company PwC 👥 Experience 0-2 years 🎓 Qualification B.Tech/B.E. CS 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills AWS Azure Airflow Data and Analytics Engineering - Data Engineering - Associate at PwC — Full Details & How to Apply PwC is seeking a Data and Analytics Engineering - Data Engineering - Associate in Pune, India , responsible for developing data pipelines and integration solutions using AWS and Azure . This role offers on-site work in Pune, India, with eligibility for 2022, 2023, 2024, and 2025 graduates. Candidates will gain hands-on experience in building data infrastructure and systems for efficient data processing and analysis. This Data and Analytics Engineering - Data Engineering - Associate role directly supports client operations by designing and implementing data pipelines, data integration, and data transformation solutions. The position involves using AWS , Azure , and Airflow to develop scalable data systems that enable accurate data processing and analysis. These tools are used to create reliable data workflows that support real-time decision-making within client environments. The job posting highlights that PwC specializes in leveraging advanced technologies and techniques to design robust data solutions. This role is part of a team focused on data engineering, where professionals contribute to client-facing data infrastructure. The position is available through PwC recruitment in Pune, India, and is structured for early-career professionals entering the field. 2022, 2023, 2024, 2025 graduates with a B.Tech/B.E. CS qualification and 0-2 years of experience are eligible. The role does not specify a salary, so Not Disclosed is the current compensation detail. Candidates will work with AWS , Azure , and Airflow to build and maintain data pipelines. This experience provides foundational exposure to enterprise-grade data engineering, preparing individuals for roles in data infrastructure and analytics. It opens pathways to progression into senior data engineering or analytics roles within technology-driven organizations. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data and Analytics Engineering - Data Engineering - Associate jobs and Pune, India jobs through PwC recruitment . Job Role & Responsibilities The Data and Analytics Engineering - Associate role at PwC focuses on building scalable data pipelines using AWS and Azure to support client data operations, ensuring data quality and performance monitoring through automated workflows managed by Airflow . This role enables end-to-end data processing for real-time analytics and client-specific reporting. Design data infrastructure using AWS S3 and Azure Blob Storage to support structured and unstructured data ingestion at scale. Develop data pipelines in AWS Glue and Azure Data Factory to extract, transform, and load data from source systems into data lakes. Collaborate with clients to define data requirements and deliver tailored solutions using Azure Synapse and AWS Redshift for analytics. Implement data transformation workflows using Apache Airflow to orchestrate ETL jobs and ensure reliable execution across multiple environments. Monitor data pipeline performance using AWS CloudWatch and Azure Monitor to track execution time, error rates, and data volume metrics. Debug data processing failures in AWS Lambda and Azure Functions by analyzing logs and identifying data drift or schema mismatches. Update existing data systems using Azure Data Lake and AWS EMR to improve data access speed and reduce latency in downstream analytics. Document data integration processes and transformation logic in Confluence or Notion to ensure transparency and support future maintenance. This role demands direct ownership of data pipeline reliability, where every data transformation step and error handling mechanism impacts client reporting accuracy and system uptime. Required Skills & Technical Competencies The role requires a strong foundation in cloud-based data engineering tools, with AWS , Azure , and Airflow as core technical enablers for pipeline design and execution. Candidates must demonstrate hands-on experience with these platforms to deliver production-grade data workflows. Technical Skills AWS — entry — used to design and deploy data pipelines using AWS S3 , AWS Glue , and AWS Lambda for scalable data processing. Azure — entry — utilized to build data solutions using Azure Data Factory and Azure Blob Storage for secure and reliable data storage. Airflow — entry — used to orchestrate complex data workflows, including ETL jobs, with error handling and schedule management in Apache Airflow . When preparing your resume, emphasize specific projects where you used AWS Glue or Airflow to automate data pipelines, and include metrics like reduction in processing time or error rate improvement to show measurable impact. Eligibility Criteria This role is designed for B.Tech/B.E. Computer Science graduates with 0–2 years of experience, specifically targeting eligible batches of 2022, 2023, 2024, and 2025 students seeking entry-level data engineering exposure. Must hold a B.Tech/B.E. in Computer Science from a recognized institution. Must be from the 2022, 2023, 2024, or 2025 batch. Must have 0–2 years of relevant experience, including academic projects or internships. No minimum CGPA requirement is specified in the job posting. Project work, GitHub repositories, or technical portfolios are not required but may be considered. Must demonstrate hands-on use of AWS or Azure in academic or personal projects to show technical readiness. Documentation & Portfolio Requirements Your resume should include a clear section on data engineering projects using AWS or Azure , with specific tools like Airflow or Glue listed, and include metrics such as data volume processed or pipeline execution time. For this role, prioritize showcasing a GitHub repository with a working Airflow DAG that processes data from AWS S3 to Azure Blob , with clear logs and error handling — this directly mirrors the core responsibilities in the job description. Salary for Data and Analytics Engineering - Data Engineering - Associate at PwC 💰 Compensation Not Disclosed The advertised compensation for the Data and Analytics Engineering - Data Engineering - Associate role at PwC is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data and Analytics Engineering - Data Engineering - Associate Upskilling with the right resources significantly enhances your chances of selection for this role by demonstrating relevant expertise and commitment. Recommended Courses & Resources AWS — Mastering AWS is crucial for managing cloud infrastructure in data engineering. Azure — Proficiency in Azure is essential for cloud-based data solutions and services. KodNest — This course offers hands-on experience with data engineering projects and tools. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with AWS, Azure, or Airflow — ensure to include relevant projects. ❌ Using a generic resume instead of tailoring it to the specific responsibilities outlined in the job posting — customize your resume for this role. ❌ Listing AWS or Azure without detailing where and how they were applied in previous experiences — provide context for your skills. ❌ Ignoring the qualification and experience requirements specified in the posting — ensure you meet all criteria. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — stick to relevant skills only. ❌ Failing to check the official Apply URL for accurate job details before submission — always verify before applying. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data and Analytics Engineering - Data Engineering - Associate Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include Data Engineering AWS Azure Airflow Data Pipelines Data Integration Data Transformation Data Infrastructure Client Collaboration Performance Monitoring Data Quality Troubleshooting Resume Tips for This Role Highlight your B.Tech/B.E. in Computer Science prominently on your resume. Emphasize experience with AWS , Azure , and Airflow , as these are critical for the role. Include any relevant projects or internships that involved data engineering or cloud technologies. Use exact keywords from the job description to align with ATS requirements without keyword stuffing. Avoid adding unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated work experience or skills that do not pertain to data engineering. How to Apply for Data and Analytics Engineering - Data Engineering - Associate at PwC Apply Now — PwC Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — PwC NexisGrow.com does not charge any fees for job applications. PwC PwC is a technology company based in Pune, India, offering onsite data and analytics engineering roles. This position supports client data solutions within the technology industry, focusing on building scalable data infrastructure and systems. The team designs and builds data pipelines, integration solutions, and transformation workflows. Responsibilities include developing data systems for efficient processing and analysis, ensuring reliable data flow to support client decision-making. This role enables early-career growth through hands-on experience with AWS , Azure , and Airflow —key technologies used in data engineering. It provides foundational exposure to real-world data systems and client collaboration. The role offers fresh graduates early exposure to core data engineering tools and responsibilities, building technical skills and client relationships in a practical, evolving environment. Company Details Industry Technology Location Pune, India Connect With Us Careers Apply Now Website 🔗 pwc.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a B.Tech/B.E. in Computer Science from the eligible batches of 2022, 2023, 2024, and 2025 with 0-2 years of experience can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer AWS, Azure, and Airflow are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review AWS, Azure, and Airflow documentation. 2. Prepare to discuss data pipeline projects. 3. Understand data integration techniques. 4. Familiarize yourself with data transformation concepts. 5. Practice problem-solving scenarios related to data engineering. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Pune, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data engineering responsibilities, cloud technologies, and client collaboration. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your skills in AWS, Azure, Airflow, and any relevant data engineering projects or experiences. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and clients, focusing on building meaningful connections. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers can apply as the experience requirement is 0-2 years. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs More jobs at PwC Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com