Developer

Cognizant's interview process usually begins with a timed online assessment that tests aptitude and coding ability, followed by a technical interview focusing on data engineering concepts, SQL, and PySpark. The final HR round evaluates cultural fit and communication skills. Candidates often find the coding round moderate in difficulty and benefit from practicing data‑pipeline questions.

Cognizant promotes a collaborative environment with a focus on learning and career growth. Employees benefit from mentorship programs, flexible hybrid schedules, and a balanced work‑life approach. The company’s global footprint offers exposure to diverse projects and technologies.

B.Tech/B.E. or M.Tech in Computer Science, Information Technology, Electronics & Communication or related streams; minimum 60% aggregate (or CGPA 6.0/10); batch 2025 or 2026; no active backlogs at the time of joining; strong foundation in data structures, algorithms, and SQL.

Round 1: Online assessment (aptitude + coding) → Round 2: Technical interview (data engineering concepts, SQL, PySpark) → Round 3: HR interview (fit, communication, career goals)

Cognizant is a global professional services firm that helps clients transform their business, operating, and technology models for the digital era. With a strong presence in India, Cognizant has built a reputation for delivering innovative solutions across industries such as banking, healthcare, retail, and insurance. The company invests heavily in talent development, offering a culture of continuous learning, mentorship, and exposure to cutting‑edge technologies. As a leading player in the IT services space, Cognizant’s commitment to sustainability and social impact makes it an attractive destination for fresh talent looking to make a difference. In the Property & Casualty Insurance domain, Cognizant’s data practice is focused on creating scalable, high‑performance data pipelines that enable insurers to derive actionable insights quickly. The Developer role is a cornerstone of this effort, where you will work with Databricks, Delta Lake, and PySpark to build robust data solutions that drive business value. You will collaborate with data architects, business analysts, and domain experts to translate complex insurance requirements into efficient data workflows. Key Responsibilities: 1. Design, develop, and maintain data pipelines using Databricks SQL and Delta Lake. 2. Create and orchestrate Databricks Workflows to automate end‑to‑end data processing. 3. Implement PySpark jobs for advanced analytics and data transformation. 4. Analyze insurance datasets to extract insights that support underwriting, claims, and risk assessment. 5. Ensure data quality through validation, monitoring, and error‑handling mechanisms. 6. Participate in code reviews, providing constructive feedback to uphold coding standards. 7. Troubleshoot performance bottlenecks and resolve technical issues in the data stack. 8. Document technical specifications, data lineage, and operational procedures. 9. Collaborate with cross‑functional teams to gather requirements and deliver solutions on schedule. 10. Stay abreast of emerging data technologies and recommend improvements. Tech Stack: Databricks SQL, Delta Lake, Databricks Workflows, PySpark, Python, Git, CI/CD pipelines, AWS/Azure cloud services. Growth Path: Starting as a Developer, you can progress to Senior Data Engineer, Data Architect, or Domain Lead within the insurance practice. Cognizant offers structured career ladders, regular performance reviews, and opportunities to work on global projects, enhancing both technical depth and leadership skills. Why Join Cognizant? You will be part of a forward‑thinking team that leverages modern data platforms to solve real‑world insurance challenges. The hybrid work model provides flexibility while fostering collaboration. Competitive compensation, continuous learning programs, and a supportive work culture make Cognizant an ideal launchpad for fresh engineering graduates.