📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Accenture 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹6.5 – ₹11.0 LPA 🏢 Industry Technology 🛠 Key Skills cloud data engineering Snowflake Data Warehouse data pipelines ETL ELT data quality assurance validation protocols Data Engineer at Accenture — Full Details & How to Apply Accenture is seeking a Data Engineer in Pune, Maharashtra, India , where you can leverage your skills in cloud data engineering and Snowflake Data Warehouse . This role offers a competitive salary range of ₹6.5 – ₹11.0 LPA . The demand for Data Engineer jobs is surging as companies increasingly rely on data-driven decisions, making this role crucial for Accenture 's growth in the technology sector. With a focus on enhancing data quality and processing efficiency, your contributions will directly impact client solutions and business outcomes. Accenture , founded in 1989 , has over 500,000 employees globally and is a leader in technology and consulting services. The company is known for its innovative approach and commitment to employee development, making it an ideal employer for aspiring data professionals. This opportunity is perfect for 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field . Candidates should have 2+ years experience in relevant fields. The competitive salary of ₹6.5 – ₹11.0 LPA reflects the value placed on skilled data engineers. In this role, you will work with cutting-edge tools like Snowflake Data Warehouse , develop data pipelines , and implement ETL and ELT processes. This unique exposure will not only enhance your technical skills but also pave the way for advancement into senior data roles within a few years. 📊 Role Difficulty: Medium | Competition Level: High | 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 core mission of the Data Engineer role at Accenture is to design and implement robust data solutions that enhance data processing workflows and deliver actionable insights for business growth. Design and implement scalable data pipelines using Snowflake Data Warehouse to optimize data processing workflows. Develop ETL processes to ensure seamless data integration from various sources into the data warehouse . Collaborate with data scientists and analysts to understand data requirements and deliver actionable insights using data quality assurance techniques. Monitor data quality metrics and implement validation protocols to maintain a data quality score of 100 . Take ownership of data architecture projects, ensuring timely delivery and alignment with business objectives. Document data engineering processes and communicate findings to stakeholders for transparency and clarity. Troubleshoot data-related issues and provide solutions to enhance client-facing applications effectively. This role fosters an ownership culture, allowing you to make a direct impact on data-driven decision-making and business success at Accenture . Required Skills & Technical Competencies The Data Engineer position requires a robust skill profile focused on cloud data engineering and data management technologies. Technical Skills Cloud Data Engineering — intermediate — Essential for designing and maintaining scalable data solutions in this role. Snowflake Data Warehouse — advanced — Critical for data management and processing at Accenture . ETL — intermediate — Used daily to ensure efficient data processing and integration from various sources. ELT — intermediate — Integral for transforming and loading data into the data warehouse . Data Quality Assurance — intermediate — Necessary to uphold high data standards and ensure accuracy. Validation Protocols — intermediate — Required to maintain data integrity and quality metrics. Soft Skills & Professional Competencies Strong communication skills are vital for collaborating with cross-functional teams and presenting data insights effectively. Analytical thinking is essential for troubleshooting data-related issues and providing actionable solutions. Attention to detail is crucial for monitoring data quality metrics and ensuring compliance with validation protocols. Time management skills are necessary for taking ownership of data architecture projects and meeting deadlines. Good to Have (Bonus Skills) Experience with Apache Spark can enhance your ability to manage large datasets effectively. Knowledge of Python or SQL will unlock advanced data manipulation capabilities within your projects. Familiarity with data visualization tools can provide additional insights and improve reporting processes. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in each area. Eligibility Criteria This role is designed for candidates with a strong academic background and relevant experience in data engineering. A Bachelor's or Master’s degree in Computer Science , Information Technology , or a related field is required. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing recent graduates to apply. A minimum of 2 years of relevant experience is required, but freshers with strong academic backgrounds may also be considered. Academic performance should ideally be above 60% or equivalent CGPA to demonstrate competency. Having a portfolio or GitHub showcasing relevant projects can give you an edge in the application process. Documentation & Portfolio Requirements Ensure your resume is formatted clearly and includes relevant experiences, projects, and skills that align with the Data Engineer role. Pro tip: Highlight specific projects in your portfolio that demonstrate your expertise with Snowflake and ETL processes to stand out in your application. Salary for Data Engineer at Accenture 💰 Compensation ₹6.5 – ₹11.0 LPA The advertised compensation for the Data Engineer role at Accenture is ₹6.5 – ₹11.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Accenture The selection process for the Data Engineer role at Accenture is designed to assess both technical and interpersonal skills essential for success in this position. 1 Online Assessment — 60 minutes, focusing on technical skills and problem-solving abilities. 2 Technical Interview — in-depth discussion on data engineering concepts, ETL processes, and Snowflake usage. 3 Behavioral Interview — assessing cultural fit and teamwork through situational questions. 4 HR Interview — discussing salary expectations and offer details, typically within a week of the last interview. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding how to efficiently manage and manipulate data. — Khan Academy SQL Queries — writing complex queries to extract and analyze data. — LeetCode ETL Concepts — grasping the fundamentals of Extract, Transform, Load processes. — Coursera Cloud Technologies — familiarity with cloud platforms and their applications. — Coursera Round 2: Technical Interview Snowflake Architecture — in-depth knowledge of Snowflake's data warehousing capabilities. — Coursera Data Quality Assurance — understanding techniques to ensure data integrity. — GeeksForGeeks ETL Tools — practical application of tools used in data pipeline development. — Udemy Big Data Technologies — familiarity with frameworks like Hadoop or Spark. — Coursera Data Modeling — principles of structuring data for optimal access and analysis. — GeeksForGeeks Round 3: Behavioral Interview Behavioral Questions — using the STAR method to articulate past experiences. — MindTools Team Collaboration — discussing how you work within teams on data projects. — YouTube Technical Deep-Dive — explaining your approach to solving specific data engineering challenges. — GeeksForGeeks Timeline & Expectations The typical timeline from application to offer can take around 2-4 weeks , depending on the number of candidates and scheduling. Prepare thoroughly for each round, focusing on both technical skills and cultural fit, as Accenture values collaboration and innovation. Expected Interview Questions for Data Engineer at Accenture These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would design a data pipeline using Snowflake . What are the differences between ETL and ELT ? How do you ensure data quality in your projects? Describe your experience with data modeling. What challenges have you faced in data integration? How do you optimize SQL queries for performance? Behavioral Questions Describe a time you worked on a team project and your role in it. How do you handle tight deadlines in your work? Give an example of a problem you solved creatively. What motivates you to work in data engineering? Role-Specific Questions What specific projects have you worked on related to data engineering? How do you approach learning new data technologies? What is your experience with cloud data solutions? Structure your answers using the STAR method to clearly articulate your experiences and problem-solving approaches. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Engineer Snowflake Data Warehouse ETL ELT Cloud Data Engineering Data Quality Assurance Data Pipelines Information Technology Data Validation Computer Science Big Data Data Architecture Resume Tips for This Role Highlight your experience with Snowflake and any relevant projects to stand out. Emphasize teamwork and collaboration skills, as they are crucial for this role. Include specific projects or internships that demonstrate your data engineering capabilities. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase your technical skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that do not pertain to data engineering. About Accenture Founded in 1989 , Accenture is headquartered in Dublin, Ireland , and operates in over 120 countries with a workforce of more than 500,000 employees . This extensive global footprint positions Accenture as a leader in technology consulting, providing services to a diverse range of industries. Accenture specializes in innovative solutions, particularly in cloud services , digital transformation , and data analytics . The company has established strategic partnerships with technology giants such as Microsoft and Salesforce , enabling it to deliver cutting-edge solutions tailored to client needs. Recognized for its exceptional workplace culture, Accenture boasts a Glassdoor rating of 4.2 . The company has received accolades for its commitment to diversity and inclusion, including being listed in the 2021 Fortune 100 Best Companies to Work For , showcasing its dedication to employee satisfaction. Recently, Accenture announced a significant investment in AI and cloud technologies , reflecting its strategic focus on enhancing digital transformation capabilities. This initiative aims to bolster its service offerings and maintain a competitive edge in the rapidly evolving technology landscape. For freshers in technology, Accenture serves as a robust career launchpad. The company provides extensive training programs and mentorship opportunities, ensuring that new hires develop essential skills and gain valuable experience in a supportive environment. Why Join Accenture as Data Engineer? Joining Accenture as a Data Engineer offers a unique opportunity to develop specialized skills in a leading technology firm. You will work with advanced tools and technologies, enhancing your career trajectory in the data engineering domain. Hands-on Experience — Gain practical knowledge working with Snowflake Data Warehouse , a leading cloud data platform that is pivotal for modern data solutions. Data Quality Assurance — Learn critical skills in data quality assurance and validation protocols, essential for maintaining enterprise-grade data integrity. Career Advancement — After 1-2 years, transition into advanced roles such as Senior Data Engineer or Data Architect , broadening your career opportunities within Accenture . Collaborative Culture — Experience a work culture that emphasizes teamwork and innovation, significantly enhancing your learning and professional growth. Vibrant Pune Lifestyle — Enjoy a vibrant lifestyle in Pune, Maharashtra , with access to tech hubs and flexible work arrangements that support a balanced work-life. According to NexisGrow.com, the role of a Data Engineer at Accenture not only provides technical expertise but also fosters a collaborative environment that is crucial for career development in technology. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at Accenture? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: cloud data engineering, Snowflake Data Warehouse, data pipelines, ETL, ELT. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹6.5 – ₹11.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Accenture? 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: cloud data engineering, Snowflake Data Warehouse, data pipelines, ETL, ELT. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of cloud data engineering, Snowflake Data Warehouse, data pipelines, ETL, ELT, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Accenture research, (5) Clear communication. ? What is the work culture like at Accenture? 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 Pune Browse all Tech jobs Latest Fresher jobs More jobs at Accenture 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