📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company Commvault 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related engineering discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹10 – ₹18 LPA 🏢 Industry Technology 🛠 Key Skills Azure Synapse Azure Databricks SQL Server Spark Python Pandas NumPy Power BI CI/CD MLflow Data Engineer at Commvault — Full Details & How to Apply Commvault is seeking a Data Engineer in Bangalore, Karnataka, India to enhance its data pipeline capabilities. With a focus on Azure technologies, this role is crucial for driving data analytics solutions, making it a key opportunity for aspiring data professionals. The demand for skilled data engineers is surging in India, particularly in tech hubs like Bangalore . This specific Data Engineer role at Commvault is vital for the company’s growth, as it directly contributes to the efficiency of data analytics, enabling better decision-making for clients across various industries. Founded in 1996 , Commvault has over 2,000 employees globally and is recognized for its innovative data protection solutions. The company’s commitment to leveraging cutting-edge technology, including Azure Synapse and Databricks , sets it apart as an employer of choice for data engineers looking to make a significant impact in the tech industry. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related engineering discipline to apply. Candidates should have 2+ years experience in the field, with a competitive salary range of ₹10 – ₹18 LPA . In this role, you will gain hands-on experience with essential skills such as Azure Synapse , Azure Databricks , SQL Server , Spark , Python , Pandas , NumPy , Power BI , CI/CD , and MLflow . This unique exposure opens doors to advanced data roles and specialized analytics positions, paving the way for a robust career trajectory. 📊 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 Data Engineer at Commvault will design and implement robust data pipelines using Azure Synapse , ensuring data accessibility and quality for analytics initiatives. Design and implement scalable ELT/ETL data pipelines using Azure Synapse to support analytics initiatives across various departments. Optimize SQL Server queries to enhance performance for data retrieval and reporting, ensuring efficient data access. Collaborate with data scientists and analysts to ensure data quality and accessibility for business intelligence projects. Monitor and improve data pipeline performance metrics, focusing on reliability and efficiency in data processing. Take ownership of data modeling initiatives to align with business requirements and analytics goals, utilizing Python for scripting. Document data architecture and processes to facilitate knowledge sharing across teams, enhancing overall project efficiency. Engage with clients to troubleshoot data-related issues and provide effective solutions, leveraging Power BI for data visualization. This role fosters an ownership culture, allowing you to directly impact data-driven decisions and contribute to the success of Commvault . Required Skills & Technical Competencies The ideal candidate will possess a strong skill profile, including technical expertise in data engineering tools and effective communication abilities. Technical Skills Azure Synapse — advanced — critical for building data pipelines and performing analytics to support business initiatives. SQL Server — intermediate — essential for managing relational databases and executing complex queries in the data ecosystem. Python — advanced — used daily for data manipulation and scripting, particularly with libraries like Pandas and NumPy . CI/CD — intermediate — important for automating deployment processes and ensuring code quality in data projects. Pandas — advanced — utilized for data manipulation tasks, enhancing data processing capabilities. NumPy — advanced — employed for numerical data analysis and manipulation within data workflows. Power BI — intermediate — enables the creation of interactive data visualizations for stakeholders, enhancing reporting capabilities. Soft Skills & Professional Competencies Strong communication skills — necessary for collaborating with cross-functional teams and presenting data insights effectively. Problem-solving abilities — essential for troubleshooting data-related issues and providing effective solutions. Attention to detail — critical for ensuring data quality and accuracy in analytics projects. Adaptability — important for adjusting to evolving project requirements and technologies in the data engineering landscape. Good to Have (Bonus Skills) MLflow — enhances the ability to manage machine learning lifecycles effectively within data workflows. Model Context Protocol (MCP) — supports the integration of machine learning models into data workflows. Power BI — enables the creation of interactive data visualizations for stakeholders. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency with the mentioned tools and technologies. Eligibility Criteria This role is designed for candidates with a solid technical foundation and relevant experience in data engineering. Candidates must hold a Bachelor's or Master's degree in Computer Science , Information Technology , Data Science , or related fields. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and kickstart their careers. A minimum of 2 years of relevant experience is required, but freshers with strong academic backgrounds may be considered. A CGPA of 7.0 or above is preferred to ensure candidates have a strong grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant experience, and links to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects where you utilized Azure Synapse or SQL Server to demonstrate your practical experience in data engineering. Salary for Data Engineer at Commvault 💰 Compensation ₹10 – ₹18 LPA The advertised compensation for the Data Engineer role at Commvault is ₹10 – ₹18 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 Commvault The selection process for the Data Engineer role at Commvault is designed to assess both technical and interpersonal skills, ensuring a well-rounded candidate fit. 1 Online Assessment — 90 minutes, testing coding skills and data structures. 2 Technical Interview — focuses on SQL, Python, and Azure technologies, assessing problem-solving abilities. 3 Behavioral Interview — evaluates cultural fit and teamwork through situational questions. 4 HR Interview — discusses salary expectations and company culture, typically within a week of the last round. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and trees is crucial for coding challenges — LeetCode Algorithms — focus on sorting and searching algorithms relevant to data processing — GeeksForGeeks SQL Queries — practice writing complex queries for data manipulation — W3Schools Python Basics — ensure familiarity with syntax and common libraries — freeCodeCamp Round 2: Technical Interview Azure Synapse — explore its features and how to optimize data pipelines — Coursera SQL Server — delve into performance tuning and query optimization techniques — GeeksForGeeks Python Libraries — focus on Pandas and NumPy for data manipulation tasks — Udemy Data Modeling — understand best practices for structuring data for analytics — YouTube CI/CD Practices — familiarize yourself with tools and workflows used in deployment — LinkedIn Learning Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences — MindTools Team Collaboration — discuss experiences working in diverse teams. Technical Deep-Dive — be ready to explain your approach to a recent project. Timeline & Expectations The typical timeline from application to offer can range from 2 to 4 weeks , depending on the number of candidates and interview scheduling. Focus on demonstrating both your technical skills and your ability to work collaboratively within a team during the interviews. Expected Interview Questions for Data Engineer at Commvault These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would optimize a SQL query for better performance. Describe your experience with Azure Databricks and its use cases. How do you handle missing data in a dataset using Python? What is the purpose of CI/CD in data engineering? Can you explain the Model Context Protocol and its significance? How would you approach building an ELT pipeline in Azure Synapse? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you prioritize tasks when working on multiple projects? Give an example of a time you had to collaborate with a difficult team member. What motivates you to work in data engineering? Role-Specific Questions What are the key components of a data pipeline? How do you ensure data quality in your projects? What strategies do you use for troubleshooting data issues? Structure your answers using the STAR method to clearly convey your thought process and outcomes. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Data Engineer Azure Synapse SQL Server Python Pandas NumPy ETL Data Pipelines Machine Learning Power BI CI/CD Spark Resume Tips for This Role Highlight your experience with Azure technologies, as they are crucial for this role. Emphasize projects that demonstrate your data engineering skills and problem-solving abilities. Include links to your GitHub or portfolio showcasing relevant work. Optimize your resume for ATS by using keywords from the job description. Avoid including irrelevant work experience that does not pertain to data engineering. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include unrelated work experience that may dilute your qualifications for this role. About Commvault Founded in 1996 , Commvault is headquartered in Tinton Falls, New Jersey , and operates with a strong global presence, including significant operations in Bangalore, Karnataka, India . The company has grown to employ over 2,500 professionals worldwide, showcasing its expansive reach in the technology sector. Commvault is recognized for its comprehensive data protection and management solutions, particularly its flagship product, Commvault Complete Data Protection . This platform enables businesses to safeguard their data across various environments, including on-premises and cloud infrastructures, ensuring robust data integrity and accessibility. The company culture at Commvault emphasizes innovation and employee satisfaction, having received multiple awards, including recognition on Glassdoor for high employee satisfaction ratings. Commvault also offers various employee programs, including mentorship initiatives aimed at fostering professional growth and development. Recently, Commvault announced a strategic partnership with Microsoft to enhance its cloud offerings, reflecting its commitment to technological advancement. This collaboration aims to integrate Commvault's data management solutions with Microsoft Azure , further solidifying its position in the cloud services market. For freshers, Commvault serves as a strong career launchpad in technology, offering unique opportunities for mentorship and professional development. The company’s focus on nurturing talent ensures that new employees gain valuable skills and experience in a supportive environment. Why Join Commvault as Data Engineer? Joining Commvault as a Data Engineer provides a unique opportunity to work with cutting-edge technologies while contributing to innovative data solutions that drive business success. Hands-on Experience with Azure Synapse — Gain practical skills in a leading analytics service that enhances data processing capabilities, crucial for modern data engineering. Collaboration with Azure Databricks — Work on a platform that integrates data engineering and machine learning workflows, fostering a seamless development experience. Career Advancement Opportunities — After 1-2 years, potential career paths include Senior Data Engineer, Data Architect, or Analytics Consultant, allowing for significant professional growth. Supportive Company Culture — Commvault's collaborative environment emphasizes teamwork and innovation, providing a platform for new ideas and creative solutions. Vibrant Lifestyle in Bangalore — Located in a tech hub, enjoy access to networking events, tech meetups, and rich cultural experiences that enhance both personal and professional life. According to NexisGrow.com, a role as a Data Engineer at Commvault offers not only technical skill development but also a pathway to impactful career growth in the technology sector. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at Commvault? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related engineering discipline 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: Azure Synapse, Azure Databricks, SQL Server, Spark, Python. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10 – ₹18 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Commvault? 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: Azure Synapse, Azure Databricks, SQL Server, Spark, Python. ? 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 Azure Synapse, Azure Databricks, SQL Server, Spark, Python, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Commvault research, (5) Clear communication. ? What is the work culture like at Commvault? 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 Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at Commvault 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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