The iCIMS Off Campus Drive 2026 represents a stellar opportunity for freshers graduating in 2025 and 2026 to join a globally recognized talent acquisition software company with a thriving engineering hub in Hyderabad. iCIMS is actively recruiting Data Engineers to work on cutting-edge data platforms and analytics solutions that serve thousands of enterprises worldwide. This iCIMS Off Campus Drive 2026 offers freshers a competitive salary package of Rs. 5–8 LPA, world-class mentorship from industry experts, and exposure to enterprise-grade technologies including Azure Data Factory, Snowflake, and advanced data warehousing solutions.
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| Company | iCIMS |
| Role | Data Engineer (Entry Level) |
| Location | Hyderabad, Telangana |
| Eligibility | B.E./B.Tech in CS/IT/ECE or MCA |
| Batch | 2025 / 2026 |
| Salary | Rs. 5–8 LPA (Competitive) |
| Experience | Freshers / 0–1 Year |
| Apply Mode | Online |
| Last Date to Apply | Apply as soon as possible |
Job Summary
iCIMS Off Campus Drive 2026 – Full Job Details
About iCIMS
iCIMS is a global leader in cloud-based talent acquisition and workforce management software, headquartered in Holmdel, New Jersey, USA. With a remarkable client base exceeding 4,000 customers worldwide, iCIMS powers over 4 million job postings annually, making it a critical part of the global recruitment infrastructure. The company serves Fortune 500 enterprises, mid-market organizations, and government agencies across diverse industries including retail, healthcare, financial services, technology, and manufacturing. iCIMS has established a strong engineering and R&D presence in Hyderabad, which serves as a key hub for product development, data engineering, and innovative platform solutions. The Hyderabad R&D center collaborates closely with the global headquarters and leverages local talent to build scalable, data-driven solutions. iCIMS is renowned for its commitment to innovation, employee development, and creating an inclusive workplace culture that encourages continuous learning and professional growth.
Role Overview – Data Engineer (iCIMS Off Campus Drive 2026)
The Data Engineer role at iCIMS is an entry-level position designed for freshers who are passionate about building robust data pipelines and platforms that power global talent acquisition solutions. As a Data Engineer at iCIMS, you will be instrumental in designing, developing, and maintaining ETL (Extract, Transform, Load) processes that handle massive volumes of recruitment and workforce data. This role offers exposure to enterprise-grade cloud technologies, big data processing, and modern data warehousing platforms that directly impact thousands of organizations globally. You’ll work alongside experienced data architects and engineers, gaining hands-on experience with tools like Azure Data Factory, Snowflake, and advanced SQL. The iCIMS Off Campus Drive 2026 Data Engineer position is perfect for freshers who want to establish a strong foundation in data engineering while contributing to products used by leading global enterprises.
Key Responsibilities
- ETL Pipeline Development: Design and build Extract, Transform, and Load (ETL) pipelines using Azure Data Factory and other cloud-based orchestration tools. Ensure data flows seamlessly from various sources to data warehouses with minimal latency and maximum reliability.
- Data Warehouse Operations: Support the design, maintenance, and optimization of data warehouse solutions built on Snowflake. Monitor warehouse performance, manage schemas, and ensure efficient resource utilization.
- SQL Development: Write complex SQL queries, stored procedures, and views to transform raw data into actionable insights. Optimize query performance, create indexes, and maintain data integrity across the warehouse.
- Data Quality Management: Implement data validation rules, quality checks, and error handling mechanisms in ETL pipelines. Monitor data quality metrics and resolve data inconsistencies proactively.
- Cloud Platform Expertise: Leverage Azure cloud services including Azure Data Factory, Azure SQL Database, and Azure Storage. Develop familiarity with cloud-based data processing and security best practices.
- Documentation and Testing: Create comprehensive technical documentation for data pipelines, ETL processes, and data models. Write unit tests and perform testing of ETL workflows before deployment to production.
- Cross-Functional Collaboration: Work with data analysts, business intelligence developers, and product teams to understand data requirements and implement solutions. Participate in code reviews and knowledge-sharing sessions.
- Performance Optimization: Monitor ETL pipeline performance, identify bottlenecks, and implement optimization strategies. Contribute to reducing data ingestion time and improving overall platform efficiency.
- Problem Solving: Troubleshoot data pipeline issues, investigate failed jobs, and implement corrective actions. Use debugging and monitoring tools to identify root causes of data problems.
Eligibility Criteria
- Educational Qualification: Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech.) in Computer Science, Information Technology, or Electronics & Communication Engineering. Master of Computer Applications (MCA) degree holders are also eligible.
- Graduation Timeline: Expected to graduate in 2025 or 2026. Recent graduates from 2024 may also apply if they meet other eligibility criteria and are available to join immediately.
- Academic Performance: Minimum 65% aggregate score or CGPA 6.5/10 throughout the degree program. Strong academic performance demonstrates commitment to learning and technical competency.
- Technical Foundations: Strong understanding of SQL concepts including joins, subqueries, indexing, and query optimization. Basic knowledge of database design, normalization, and data warehousing principles is essential.
- Programming Knowledge: Familiarity with at least one programming language such as Python, Java, or C++. Understanding of data structures and algorithms is highly valued.
- Data Concepts: Knowledge of ETL processes, data pipelines, and basic analytics. Familiarity with databases, relational data models, and data quality concepts is advantageous.
- Communication Skills: Excellent written and verbal communication abilities in English. Ability to articulate technical concepts clearly and work in collaborative team environments.
- Cloud Familiarity: While not mandatory, prior exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform is a plus. Any cloud certifications or hands-on projects are highly valued.
Selection Process
iCIMS conducts a comprehensive and structured selection process to identify talented freshers who can thrive in a fast-paced, innovative environment:
- Online Assessment (Round 1): Candidates complete an online assessment consisting of multiple sections including aptitude, logical reasoning, and technical concepts. The technical section focuses on SQL fundamentals, database concepts, and basic data engineering knowledge. Time limit is typically 60-75 minutes. This round acts as an initial filter to assess foundational knowledge and analytical abilities.
- SQL and Data Assessment (Round 2): Selected candidates from Round 1 face a dedicated SQL and data-focused assessment. This includes writing SQL queries to solve real-world data problems, optimizing query performance, and understanding ETL concepts. Candidates are tested on their ability to handle complex data scenarios and think logically about data transformations.
- Technical Interview (Round 3): A one-on-one technical interview with a Data Engineering lead or architect from iCIMS. Discussion covers SQL expertise, database concepts, ETL pipeline architecture, cloud platforms (Azure/Snowflake), and problem-solving approach. Candidates may be given a real-world data problem to solve and explain their approach.
- HR and Behavioral Interview (Round 4): HR representatives assess soft skills, cultural alignment, career aspirations, and team collaboration abilities. Topics include how candidates handle challenges, their learning mindset, and fit within iCIMS’ innovative culture.
- Background Verification and Final Offer: Candidates clearing all interview rounds undergo background verification. Upon successful verification, offer letters are extended with salary, benefits, and joining date details.
Salary & Perks
Salary Package: Rs. 5–8 LPA (Lakhs Per Annum) for Data Engineers
Comprehensive Benefits and Perks:
- Competitive Compensation: Competitive salary package in the Rs. 5–8 LPA range based on academic performance and interview assessment. Performance bonuses and incentives available based on individual contributions.
- Health and Wellness: Comprehensive health insurance covering medical, dental, and vision care for employees and immediate family. Wellness programs including gym memberships and mental health support.
- Professional Development: Sponsored certifications in cloud platforms (Azure, Snowflake, AWS). Access to online learning platforms like Pluralsight, Coursera, and Udemy for skill enhancement.
- Technical Mentorship: Structured mentorship program pairing freshers with experienced data engineers. Regular 1-on-1 sessions, code reviews, and knowledge transfer opportunities.
- Learning Budget: Annual learning budget for attending conferences, workshops, and training programs. Support for industry certifications and technical skill development.
- Career Growth: Clear career progression from Data Engineer to Senior Data Engineer, Staff Engineer, and leadership roles. Performance-based promotions and internal mobility across projects.
- Work Environment: Modern, collaborative work culture with flexible working hours and remote work options for eligible projects. Access to cutting-edge tools and technologies.
- Leave Benefits: Generous paid time off including casual leave, sick leave, personal leave, and annual vacation. Parental leave, bereavement leave, and other special leave provisions.
- Team Activities: Regular team outings, company events, hackathons, and innovation challenges. Team building activities and social engagement programs.
- Global Exposure: Opportunity to work on global projects and collaborate with teams across multiple iCIMS offices worldwide. Potential for international project assignments and knowledge exchange.
How to Apply for iCIMS Off Campus Drive 2026
Follow these simple steps to submit your application for the iCIMS Off Campus Drive 2026 Data Engineer role:
- Prepare Your Application Materials: Update your resume to highlight your academic achievements, relevant coursework in databases and data structures, projects, internships, and any technical certifications. Include links to GitHub repositories or technical portfolios if available. Prepare a brief cover letter explaining your interest in data engineering and iCIMS.
- Gather Required Information: Have your educational credentials readily available, including college name, graduation date, CGPA/percentage, and any relevant technical certifications or achievements. Prepare a list of technical skills and tools you’re familiar with.
- Click the Apply Button: Click the “Apply Now” button on this page to proceed to the official iCIMS job posting on LinkedIn. Alternatively, visit the direct LinkedIn job link to apply.
- Complete the Application Form: Fill out the online application form with accurate personal information, contact details, educational background, and work experience. Answer all required questions thoroughly and honestly.
- Upload Documents: Upload your resume, mark sheets, and any supporting documents as requested. Ensure documents are in acceptable formats (PDF preferred) and clearly labeled.
- Submit Your Application: Review the entire application for accuracy and completeness. Check that all required fields are filled and documents are uploaded. Click submit to send your application.
- Confirmation and Next Steps: You’ll receive a confirmation email with your application reference number. iCIMS HR team will review applications and contact shortlisted candidates to schedule the online assessment. Monitor your email (including spam folder) for communication from iCIMS.
Frequently Asked Questions
What is the expected salary for the iCIMS Off Campus Drive 2026 Data Engineer role?
The iCIMS Off Campus Drive 2026 Data Engineer position offers a competitive salary package in the range of Rs. 5–8 LPA (Lakhs Per Annum). The exact salary within this range is typically determined based on your academic performance (CGPA), interview performance, and the company’s evaluation of your potential. Additionally, you’ll receive performance bonuses, health insurance, and other comprehensive benefits as outlined in the perks section. The salary is reviewed annually, and performance-based increments are provided based on your contributions and career progression.
Can I apply if I’m currently in my final year of college?
Yes, final-year students expecting to graduate in 2025 or 2026 are eligible to apply for the iCIMS Off Campus Drive 2026. However, ensure you have a confirmed graduation date and can join within the specified timeline after completing your degree requirements. Most companies prefer candidates to complete their degree before joining. If you’re still in your third year or earlier, you may want to apply in future recruitment drives. Contact iCIMS HR team if you have specific questions about your graduation timeline and eligibility.
What technical skills should I focus on to prepare for the iCIMS Off Campus Drive 2026?
To prepare for the iCIMS Off Campus Drive 2026 Data Engineer role, prioritize mastering SQL fundamentals including SELECT, JOIN, GROUP BY, subqueries, window functions, and query optimization. Study database concepts like indexing, normalization, and relational models. Learn about ETL processes and data pipeline architecture. Gain practical experience with a programming language like Python for data processing. Additionally, familiarize yourself with cloud concepts and ideally try hands-on projects with Azure services. Understanding basic data warehousing concepts and tools like Snowflake will significantly improve your chances of success in interviews.
How long does the iCIMS Off Campus Drive 2026 selection process typically take?
The complete iCIMS Off Campus Drive 2026 selection process generally takes 4-8 weeks from application submission to final offer. The timeline includes online assessment (1-2 weeks after shortlisting), SQL/data assessment (1 week), technical interviews (1-2 weeks), HR interviews (1 week), and background verification (1-2 weeks). Some candidates may progress quickly through all rounds within 3-4 weeks if they perform exceptionally well. After receiving an offer, joining dates are typically negotiable and can be scheduled within 2-4 weeks based on your availability and company requirements.
What is Snowflake, and why is it important for this iCIMS Off Campus Drive 2026 Data Engineer role?
Snowflake is a cloud-based data warehouse platform that provides scalable, flexible, and efficient storage and processing of large volumes of data. iCIMS uses Snowflake as a key component of its data infrastructure for storing, managing, and analyzing recruitment and workforce data. As a Data Engineer at iCIMS, you’ll work with Snowflake to design data schemas, optimize warehouse performance, write SQL queries, and support data transformation workflows. Learning Snowflake is valuable because it’s increasingly adopted by enterprises worldwide, making it a highly marketable skill. While hands-on Snowflake experience is not mandatory for freshers, basic understanding of cloud data warehousing concepts will give you a competitive advantage in your interviews and career.
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