📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Capco 👥 Experience 3-5 years 🎓 Qualification Relevant technical degree 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–₹20 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills Data engineering DevOps automation SQL Cloudera CDP/CDH Hadoop Hive Spark PySpark Python YARN Data Engineer at Capco — Full Details & How to Apply Capco is seeking a Data Engineer in Bengaluru, Karnataka, India , offering a competitive salary and a chance to work with cutting-edge data technologies like Cloudera and Spark. This role is pivotal for those looking to advance their careers in the thriving tech landscape of India. The demand for skilled Data Engineers is surging in India, particularly in Bengaluru , which is a tech hub with over 1,000 startups and established firms. This specific role at Capco allows you to directly contribute to optimizing data processing solutions, enhancing client decision-making and operational efficiency. Capco , founded in 1998 , has over 5,000 employees globally and specializes in financial services and technology consulting. What sets Capco apart is its commitment to innovation and employee development, making it an ideal workplace for aspiring Data Engineers . We encourage 2023, 2024, 2025, 2026 graduates with a relevant technical degree and 3-5 years experience to apply. The estimated salary for this role ranges from ₹12–₹20 LPA , making it a lucrative opportunity in the competitive Bengaluru, Karnataka, India jobs market. In this role, you will work with essential skills such as Data engineering , DevOps automation , SQL , Cloudera CDP/CDH , Hadoop , Hive , Spark , PySpark , Python , YARN , Jenkins , GitHub , Bitbucket , and Checkmarx . This unique exposure will not only enhance your skill set but also open doors to advanced roles within the next few years. 📊 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 core mission of the Data Engineer at Capco is to enhance data processing capabilities through effective management of Cloudera platforms and collaboration with cross-functional teams. Manage Cloudera CDP platforms to ensure optimal performance and reliability in data processing tasks, utilizing Hadoop for efficient data storage. Develop data-processing solutions using Spark to enhance data analytics capabilities, focusing on real-time data processing. Collaborate with cross-functional teams, including data scientists and DevOps , to streamline data workflows and improve overall efficiency. Monitor data quality metrics to ensure compliance with the company's 100% Data Quality Score , utilizing Hive for data validation. Take ownership of CI/CD pipeline maintenance using Jenkins , ensuring efficient deployment processes and reducing downtime. Document data engineering processes and communicate findings to stakeholders for transparency, enhancing project visibility. Troubleshoot client-facing data issues, providing timely solutions to enhance user experience and satisfaction. This role fosters an ownership culture, allowing you to directly impact data-driven decision-making and contribute to the success of Capco . Required Skills & Technical Competencies The ideal candidate for the Data Engineer position at Capco must possess a robust skill set in data engineering and related technologies. Technical Skills Data engineering — advanced — essential for building scalable data pipelines and ensuring efficient data flow. SQL — advanced — used for querying databases, crucial for data manipulation and reporting tasks. Cloudera CDP — intermediate — utilized for managing data in a cloud environment, important for infrastructure stability. Python — advanced — employed for scripting and automation tasks, enhancing data processing efficiency. GitHub — intermediate — used for version control, ensuring collaborative coding practices within the team. When showcasing these technical skills in your resume or interview, emphasize specific projects and metrics that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in data engineering. Candidates must hold a relevant technical degree, such as Computer Science or Information Technology . Eligible batches include 2023 to 2026 , allowing fresh graduates to apply and start their careers early. Experience of 3-5 years is required, but freshers with strong internships or projects may be considered favorably. A minimum academic performance of 60% is expected to ensure a solid understanding of technical concepts. Having a portfolio or GitHub showcasing relevant projects can provide a significant advantage in the selection process. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your educational background, relevant experience, and links to your portfolio or GitHub projects. Pro tip: Highlight specific projects that demonstrate your expertise in Cloudera and Spark to stand out in your application. Salary for Data Engineer at Capco 💰 Compensation ₹12–₹20 LPA (estimated) The advertised compensation for the Data Engineer role at Capco is ₹12–₹20 LPA (estimated) . 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 Engineer Upskilling with the right resources significantly enhances your chances of selection for the Data Engineer role at Capco . Recommended Courses & Resources SQL — Essential for managing and querying databases effectively. Cloudera CDP/CDH — Crucial for working with big data technologies in the role. Python — A key programming language for data manipulation and analysis. GitHub — Important for version control and collaboration on projects. KodNest — Provides hands-on experience with data engineering concepts. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — fix by aligning your experience with the job requirements. ❌ Neglecting to showcase technical projects — include specific examples of your work with data tools. ❌ Using generic language instead of specific metrics — quantify your contributions where possible. ❌ Overlooking the importance of a cover letter — include a tailored cover letter that reflects your interest in Capco. ❌ Not preparing for technical interviews — practice coding challenges and familiarize yourself with data engineering concepts. ❌ Ignoring the application deadline — ensure timely submission to avoid missing out on the opportunity. Before You Apply — Checklist ✅ Research Capco's recent projects and initiatives to understand their business better. ✅ Update your resume to reflect relevant skills and experiences tailored to the Data Engineer role. ✅ Prepare a cover letter that articulates your interest in Capco and the specific role. ✅ Gather references who can speak to your technical abilities and work ethic. ✅ Ensure your LinkedIn profile is up-to-date and reflects your resume. ✅ Practice common data engineering interview questions and coding challenges. ✅ Double-check the application requirements and ensure all documents are included. ✅ Set reminders for follow-up after submitting your application. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for standing out in the application process for the Data Engineer role at Capco . ATS Keywords to Include Data Engineer Cloudera CDP Spark SQL Python DevOps Hadoop Hive PySpark Jenkins GitHub Checkmarx Resume Tips for This Role Highlight relevant technical projects that demonstrate your skills in data engineering and tool usage. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include links to your GitHub or portfolio to showcase your coding skills and projects. Optimize your resume for ATS by including specific keywords from the job description. Avoid including unrelated work experience that does not demonstrate your fit for the data engineering role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including generic job descriptions; focus on specific achievements and relevant skills. How to Apply for Data Engineer at Capco Apply Now — Capco Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the Data Engineer role. Fill out the application form accurately, providing all required information. After submission, expect a confirmation email regarding your application status. You can track your application status through the portal for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Capco NexisGrow.com does not charge any fees for job applications. Capco Founded in 1998 , Capco has established a significant global presence with offices in over 25 locations worldwide. The company’s headquarters is located in London , and it has expanded its operations to key financial hubs, including Bengaluru, Karnataka, India . This extensive footprint allows Capco to serve a diverse range of clients across various sectors. Capco specializes in consulting services tailored for the financial services industry, focusing on technology solutions that facilitate business transformation. Key offerings include data engineering , DevOps automation , and advanced analytics powered by AI-driven technologies . The company leverages platforms such as Cloudera CDP and Hadoop to deliver innovative solutions. The culture at Capco emphasizes employee development and satisfaction, reflected in its impressive 4.2-star rating on Glassdoor . The company actively promotes mentorship and training programs, ensuring that employees have access to resources that enhance their skills. Additionally, Capco has been recognized for its workplace culture, receiving accolades for its commitment to fostering a supportive environment. Recently, Capco has expanded its service offerings to include AI-driven analytics , showcasing its dedication to staying ahead in the technology sector. This initiative is part of a broader strategy to enhance its capabilities and provide clients with cutting-edge solutions. The company is also exploring partnerships to further innovate its service delivery. For freshers looking to launch a career in technology, Capco offers a robust foundation through its structured mentorship and training programs. The focus on data engineering and DevOps automation provides new hires with hands-on experience in critical technologies such as SQL , Hadoop , and PySpark . This environment fosters growth and equips employees with the skills needed to thrive in the tech industry. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 job-boards.greenhouse.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at Capco? Eligibility Tap to expand + Answer Candidates with Relevant technical degree and 3-5 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: Data engineering, DevOps automation, SQL, Cloudera CDP/CDH, Hadoop. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–₹20 LPA (estimated). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Capco? 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: Data engineering, DevOps automation, SQL, Cloudera CDP/CDH, Hadoop. ? 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 Data engineering, DevOps automation, SQL, Cloudera CDP/CDH, Hadoop, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Capco research, (5) Clear communication. ? What is the work culture like at Capco? 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 Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Capco 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