📋 Job Details at a Glance 📍 Location Chennai, Tamil Nadu, India 🏢 Company Cognizant 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹8–₹15 LPA (estimated; depends on experience and not officially disclosed) 🏢 Industry Technology 🛠 Key Skills AWS Python PySpark Apache Spark SQL AWS Data Engineer at Cognizant — Full Details & How to Apply Cognizant is seeking an AWS Data Engineer in Chennai, Tamil Nadu, India , where freshers can kickstart their careers with a competitive salary and hands-on experience in AWS technologies. This role is particularly appealing for those eager to dive into the booming field of cloud computing, which is essential for modern data management and analytics. The demand for skilled professionals in cloud computing is surging, making this AWS Data Engineer role crucial for freshers looking to enter a thriving tech industry. As organizations increasingly rely on data-driven solutions, the ability to optimize data pipelines becomes vital for success. This position at Cognizant directly contributes to enhancing these capabilities, ensuring that clients receive top-notch services. Cognizant , founded in 1994 , employs over 300,000 professionals globally, making it a leader in technology services and consulting. The company is recognized for its commitment to innovation and employee development, offering a collaborative culture that fosters growth. This makes Cognizant an ideal employer for aspiring data engineers looking to make their mark in the tech world. We encourage 2022, 2023, 2024, 2025 graduates with a degree in any field to apply. This role is open to candidates with 0-2 years experience , offering a competitive salary range of ₹8–₹15 LPA (estimated; depends on experience and not officially disclosed) . This is a fantastic opportunity for freshers to gain valuable experience in a leading tech company. In this role, you will work with essential technologies such as AWS , Python , PySpark , Apache Spark , and SQL . Gaining expertise in these skills will not only enhance your technical proficiency but also open doors to advanced career opportunities in data engineering and cloud computing. The experience you gain here will set a strong foundation for your future career progression. 📊 Role Difficulty: Medium | 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. Job Role & Responsibilities The AWS Data Engineer at Cognizant is responsible for designing and implementing data solutions that enhance data flow and processing efficiency using AWS services. Design scalable data pipelines utilizing AWS services to ensure efficient data flow and processing. Build and maintain ETL workflows leveraging Python and PySpark for effective data transformation. Collaborate with data scientists and analysts to optimize data usage and enhance analytics capabilities using SQL . Monitor and improve the performance of Apache Spark applications, ensuring high efficiency in data processing tasks. Take ownership of data quality initiatives, ensuring accurate and timely data delivery through Python scripts. Document data engineering processes and workflows for internal knowledge sharing and compliance with AWS standards. Engage with clients to understand their data needs and provide tailored solutions using SQL queries. This role fosters an ownership culture, allowing you to directly impact data solutions and client satisfaction at Cognizant . Required Skills & Technical Competencies The AWS Data Engineer role requires a strong skill profile in cloud technologies and data processing tools to effectively manage data workflows. Technical Skills AWS — entry — critical for managing cloud infrastructure and services in data pipeline design. Python — entry — essential for scripting and automation in building ETL workflows. PySpark — entry — used daily for handling large datasets and performing distributed data processing. SQL — entry — necessary for querying and optimizing databases to support data-driven decisions. Apache Spark — entry — important for building scalable data applications and improving performance. When showcasing these technical skills in your resume or interview, emphasize specific projects or tasks where you applied these technologies effectively. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data engineering and technology. Any graduate can apply, valuing diverse educational backgrounds relevant to data engineering. Eligible batches include 2022 , 2023 , 2024 , and 2025 . No prior experience is required, making it ideal for freshers. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can significantly enhance candidacy. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and projects. Include links to your GitHub or portfolio showcasing your work. Pro tip: Tailor your application to highlight specific experiences with AWS and Python to stand out in the selection process. Salary for AWS Data Engineer at Cognizant 💰 Compensation ₹8–₹15 LPA (estimated; depends on experience and not officially disclosed) The advertised compensation for the AWS Data Engineer role at Cognizant is ₹8–₹15 LPA (estimated; depends on experience and not officially 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 AWS Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the AWS Data Engineer role at Cognizant . Recommended Courses & Resources AWS — Essential for mastering cloud services and architecture. Python — Crucial for data manipulation and scripting tasks. Apache Spark — Important for handling large-scale data processing. SQL — Fundamental for database querying and management. KodNest — Offers hands-on projects to solidify your skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences specific to data engineering. ❌ Neglecting hands-on projects — Showcase internships or projects that demonstrate practical application of skills. ❌ Overlooking documentation of skills — Clearly document technical skills and tools used in previous roles. ❌ Submitting a generic cover letter — Address the specific role and company in your cover letter. ❌ Ignoring online presence — Maintain a professional LinkedIn profile or GitHub repository. ❌ Not preparing for technical interviews — Practice relevant coding and data engineering problems. Before You Apply — Checklist ✅ Research Cognizant 's recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences for the AWS Data Engineer role. ✅ Prepare a cover letter that specifically addresses why you want to work at Cognizant . ✅ Gather any necessary documents, such as transcripts or certifications, for the application. ✅ Ensure your LinkedIn profile is updated and aligns with your resume. ✅ Practice common technical interview questions related to AWS and data engineering. ✅ Network with current or former Cognizant employees to gain insights about the company. ✅ Set reminders for application deadlines and follow up if necessary. Resume Tailoring & ATS Keywords for AWS Data Engineer Optimizing your resume for ATS is crucial for securing an interview for the AWS Data Engineer role at Cognizant . ATS Keywords to Include AWS Data Engineer Python PySpark Apache Spark SQL ETL Data Pipeline Distributed Processing Data Quality Performance Optimization Collaboration Resume Tips for This Role Highlight relevant projects involving AWS and data engineering to showcase practical experience. Emphasize teamwork and collaboration skills, as cross-functional work is essential in this role. Include any internships or academic projects that demonstrate your technical skills in Python or SQL . Optimize your resume for ATS by using keywords from the job description to improve visibility. Avoid including irrelevant work experience that does not align with the data engineering focus. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to the AWS Data Engineer position. How to Apply for AWS Data Engineer at Cognizant Apply Now — Cognizant Visit the Cognizant application portal and create an account. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form with accurate personal and educational details. After submission, you will receive a confirmation email regarding your application status. Keep track of your application through the portal for updates on the hiring process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Cognizant NexisGrow.com does not charge any fees for job applications. Cognizant Cognizant was founded in 1994 and has expanded to employ over 300,000 professionals globally. With its headquarters located in Teaneck, New Jersey , the company has established a significant presence in Chennai, Tamil Nadu . This extensive global footprint enables Cognizant to serve clients across various sectors, including healthcare and finance. Known for its innovative digital transformation services, Cognizant specializes in technologies such as AI , IoT , and cloud solutions . The company offers platforms like Cognizant Cloud and Cognizant AI , which empower businesses to enhance operational efficiency and drive growth. These offerings are tailored to meet the unique needs of diverse industries. Cognizant has received numerous accolades for its workplace culture, including being ranked among the top companies on Glassdoor for employee satisfaction. The company actively promotes employee engagement through various programs, such as the Cognizant Academy , which focuses on continuous learning and professional development, fostering a supportive environment for its workforce. Recently, Cognizant announced a strategic partnership with AWS to enhance its cloud services, reflecting its commitment to innovation. This partnership aims to leverage AWS technologies to improve service delivery and expand its offerings. Additionally, the company has invested significantly in expanding its capabilities in data engineering and cloud solutions . For freshers in technology, Cognizant provides a robust platform for career advancement. With its extensive training programs and mentorship opportunities, new employees can gain valuable experience in cutting-edge technologies like AWS , Python , and Apache Spark . This supportive environment is ideal for launching a successful career in the tech industry. Company Details Industry Technology Location Chennai, Tamil Nadu, India Connect With Us Careers Apply Now Website 🔗 tas-cognizant.taleo.net Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AWS Data Engineer at Cognizant? Eligibility Tap to expand + Answer Candidates with Any Graduate and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: AWS, Python, PySpark, Apache Spark, SQL. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8–₹15 LPA (estimated; depends on experience and not officially disclosed). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Cognizant? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: AWS, Python, PySpark, Apache Spark, SQL. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AWS Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of AWS, Python, PySpark, Apache Spark, SQL, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Cognizant research, (5) Clear communication. ? What is the work culture like at Cognizant? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs More jobs at Cognizant 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. 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