📋 Job Details at a Glance 📍 Location Hyderabad, Telangana 🏢 Company Wipro 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Databricks Azure Data Factory NiFi Kafka Fluentd Databricks Data Quality / Cyber Analytics Engineer at Wipro — Full Details & How to Apply Wipro is seeking a motivated Databricks Data Quality / Cyber Analytics Engineer to join their innovative team in Hyderabad, Telangana . This role offers a unique opportunity to work with advanced data technologies, making it a pivotal position in today’s data-centric world. In an era where data drives decision-making, the role of a Databricks Data Quality / Cyber Analytics Engineer is crucial. Companies are increasingly recognizing that ensuring data quality is vital for operational excellence and competitive advantage. As businesses harness the power of data, professionals who can enhance data integrity and reliability are in high demand. Wipro stands out as a leader in the technology sector, renowned for its commitment to innovation and excellence. With a collaborative environment that fosters growth, Wipro provides a platform where fresh talent can thrive and contribute to impactful projects. The company’s focus on cutting-edge technologies, such as Databricks , Azure Data Factory , and Kafka , positions it at the forefront of the industry. Joining Wipro means being part of a team that values creativity and encourages continuous learning. This role is ideal for both freshers and candidates with up to 2 years of experience who are eager to dive into the world of data analytics and quality assurance. Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree, with eligibility extended to 2023, 2024, 2025, and 2026 passouts. A minimum 60% aggregate in academics is preferred, and any prior internship or hands-on project experience will be a strong advantage. As a Databricks Data Quality / Cyber Analytics Engineer at Wipro , you will gain invaluable skills in cloud architecture , production-grade Java development , and Agile workflows . This role provides a unique opportunity to work with industry-leading tools and technologies, enhancing your expertise in data quality and analytics. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate information to apply online for this role in the technology sector. Job Role & Responsibilities The role of a Databricks Data Quality / Cyber Analytics Engineer at Wipro is pivotal in ensuring that data integrity is maintained across various analytics projects. This position focuses on developing data quality frameworks and emphasizes collaboration with cross-functional teams to align data quality initiatives with business objectives. Develop and implement data quality frameworks to ensure high standards of data integrity across Wipro's analytics projects. Utilize tools like Databricks , Azure Data Factory , and Kafka to automate data processing and enhance workflow efficiency. Collaborate with cross-functional teams , including data engineers and business analysts, to align data quality initiatives with business objectives. Monitor and report on data quality metrics , providing actionable insights to stakeholders for continuous improvement. Engage in ongoing learning and development, taking ownership of projects that contribute to personal and professional growth. Document processes and create reports to communicate findings and recommendations clearly to both technical and non-technical audiences. Innovate solutions to complex data challenges, leveraging your analytical skills to enhance data quality and reliability. Participate in code reviews and contribute to best practices for data quality assurance within the team. This role fosters an ownership culture where you will have the opportunity to make significant contributions to Wipro's data quality initiatives, ultimately impacting the success of analytics projects and the organization as a whole. Required Skills & Technical Competencies The ideal candidate for the Databricks Data Quality / Cyber Analytics Engineer role at Wipro should possess a diverse skill set that combines technical expertise with strong analytical abilities. This skill profile is essential for managing and enhancing data quality across various projects. Technical Skills Databricks (Proficient) — essential for managing and analyzing large datasets effectively, ensuring data quality. Azure Data Factory (Intermediate) — crucial for orchestrating data workflows and integrating various data sources. Kafka (Foundational) — expected for implementing data ingestion and streaming solutions. NiFi (Basic) — familiarity will aid in data flow management and automation. Fluentd (Basic) — knowledge will enhance your capability to manage and analyze log data flows. SQL (Intermediate) — required for querying and manipulating data effectively. Soft Skills & Professional Competencies Analytical skills — vital for identifying data discrepancies and driving quality improvements. Attention to detail — essential for ensuring high standards of data integrity. Effective communication skills — necessary for conveying complex findings to diverse audiences. Team collaboration — important for working with cross-functional teams to achieve common goals. Good to Have (Bonus) Python — familiarity with scripting for data manipulation and automation. Git — experience with version control systems to manage code effectively. Tableau — knowledge for data visualization and reporting. To effectively showcase these skills in your resume or during an interview for the Databricks Data Quality / Cyber Analytics Engineer role, focus on specific projects or experiences that highlight your technical competencies and problem-solving abilities. Eligibility Criteria This role is designed for both freshers and candidates with up to 2 years of experience who are eager to start their careers in data quality and cyber analytics within a leading technology company like Wipro . Candidates must hold a degree in any discipline , with a preference for those with a background in computer science or data analytics. Eligible batches: 2023, 2024, 2025, and 2026 passouts. A minimum CGPA of 6.0 is preferred, indicating a solid academic foundation in relevant subjects. Prior internship or hands-on project experience is a strong advantage. Certifications in data analytics or related technologies will enhance your application. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your relevant skills and experiences. Include links to your GitHub or portfolio showcasing any personal projects, along with any certifications you may have obtained in data analytics or related fields. Pro Tip: Tailor your resume to emphasize specific projects or experiences that align with the responsibilities of the Databricks Data Quality / Cyber Analytics Engineer role to improve your application success rate. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Wipro for the role of Databricks Data Quality / Cyber Analytics Engineer emphasizes providing a competitive salary that aligns with industry standards while also offering a comprehensive benefits package that supports employee well-being and career growth. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Gratuity schemes Performance Bonuses — annual performance-based bonuses to reward exceptional work Flexible Work Hours — options for hybrid work to promote a healthy work-life balance Learning and Development — access to training programs and certifications to enhance skills Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — support for daily meal expenses Transportation Support — assistance for commuting to and from work Employee Assistance Programs — mental health support and counseling services Wellness Programs — initiatives promoting physical and mental well-being Career Progression & Salary Growth The appraisal cycles at Wipro typically occur annually, with raise percentages averaging between 10% to 15% based on performance. The company has a defined promotion timeline that encourages rapid career advancement and internal mobility, allowing employees to explore various roles within the organization. NexisGrow.com tip: When negotiating your salary, research industry standards for similar roles and be prepared to discuss your unique skills and experiences that add value to Wipro . Selection Process The hiring philosophy at Wipro focuses on identifying candidates who possess the necessary technical skills for the Databricks Data Quality / Cyber Analytics Engineer role and align with the company’s values and culture. 1 Round 1: Application Screening — Initial screening of applications based on qualifications and relevant experience. 2 Round 2: Technical Interview — Focus on data analytics skills and problem-solving abilities through practical assessments. 3 Round 3: Behavioral Interview — Assessment of cultural fit and alignment with Wipro 's values. 4 Final Stage: Offer Discussion — Discussion of the job offer and background verification process to confirm candidate eligibility. What Each Round Tests Round 1 assesses your qualifications and relevant experience. Round 2 evaluates your technical skills in data analytics, while Round 3 focuses on your communication skills and problem-solving abilities to ensure a good cultural fit. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Wipro regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with Wipro 's core values and be prepared to discuss how your experiences align with them during the behavioral interview. How to Apply for Databricks Data Quality / Cyber Analytics Engineer at Wipro Apply Now — Wipro Create Your Profile — Visit the official career link and set up your profile to begin the application process. Resume Submission — Fill in your resume, ensuring to highlight relevant skills and experiences that align with the Databricks Data Quality / Cyber Analytics Engineer role. Application Form — Complete the application form with accurate information and relevant details. Application Confirmation — Expect an application confirmation email, followed by a screening process that may include assessments. Track Your Application — Keep an eye on your email for updates regarding your application status. Resume & Profile Tips for This Role Highlight Relevant Projects — Showcase any hands-on project experience related to data quality and analytics. Technical Skills — Emphasize proficiency in Python , SQL , and other relevant tools. Soft Skills — Include communication skills and problem-solving abilities in your profile. Education Details — Clearly state your qualifications, especially if you hold a B.Tech in Computer Science . Note: Applications are reviewed on a rolling basis, so applying early can significantly increase your chances of consideration. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Databricks Data Quality / Cyber Analytics Engineer role at Wipro? Eligibility Tap to expand + Answer Candidates must have a degree in any discipline, with a preference for computer science backgrounds. Eligible batches include 2023 to 2026, and both freshers and candidates with up to 2 years of experience are welcome. ? What is the interview process for the Databricks Data Quality / Cyber Analytics Engineer at Wipro? Interview Tap to expand + Answer The interview process includes an initial screening, followed by a technical interview focusing on data analytics, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Databricks, Azure Data Factory, NiFi, Kafka, and Fluentd, focusing on data quality and analytics. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While the salary is not disclosed, Wipro is known for competitive compensation packages that align with industry standards. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Hyderabad, but Wipro offers flexible work arrangements depending on project requirements. ? What is the career growth path after joining Wipro as a Databricks Data Quality / Cyber Analytics Engineer? Growth Tap to expand + Answer Career growth includes defined promotion timelines, opportunities for internal mobility, and access to continuous learning programs. ? How should I prepare for the Databricks Data Quality / Cyber Analytics Engineer interview at Wipro? Preparation Tap to expand + Answer Focus on brushing up on your data analytics skills, familiarize yourself with the tech stack, and prepare to discuss relevant projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, visit the official career link and submit your resume, highlighting relevant skills and experiences. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 6 months, during which performance will be evaluated based on set objectives. ? What is the work culture like at Wipro? Culture Tap to expand + Answer Wipro fosters a collaborative and inclusive work culture, emphasizing continuous learning, teamwork, and employee well-being. 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