Developer

Cognizant typically conducts a three‑stage interview process: an online assessment that tests aptitude and coding, followed by a technical interview focusing on data engineering concepts, SQL, and PySpark, and finally an HR round that evaluates cultural fit and communication. The difficulty is moderate; thorough preparation of data platform fundamentals and problem‑solving practice is key.

Cognant's work culture emphasizes continuous learning, collaboration, and flexibility. Employees benefit from a structured career progression, regular upskilling programs, and a balanced hybrid work model that supports both personal and professional growth.

Graduates (B.Tech/B.E., B.Sc., B.Com, BCA, M.Tech, MCA) from any stream with a minimum of 60% aggregate (or CGPA 6.0/10). Final year students of the 2025, 2026 or 2027 batch are eligible. No active backlogs at the time of joining. Candidates must have a strong foundation in programming, databases, and data analytics.

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 company that helps clients transform their business, operating, and technology models for the digital era. With a presence in over 40 countries and a workforce of more than 300,000 professionals, Cognizant offers a vibrant ecosystem for learning, innovation, and career growth. The company’s strong focus on emerging technologies, industry‑specific solutions, and a culture of continuous improvement makes it a preferred destination for fresh talent looking to launch a high‑impact career. In the Insurance vertical, Cognizant has built deep domain expertise in Property & Casualty (P&C) insurance, delivering end‑to‑end solutions that enable insurers to improve underwriting, claims processing, and customer experience. As a Developer in this domain, you will be part of a dynamic team that leverages modern data platforms to create scalable, high‑performance data pipelines and analytics solutions. **Role Summary** The Developer will design, develop, and maintain data solutions using Databricks SQL, Delta Lake, and Databricks Workflows, complemented by PySpark for advanced data transformations. You will work closely with data architects, business analysts, and insurance subject‑matter experts to translate business requirements into robust data products that drive actionable insights. **Key Responsibilities** 1. Build and optimize data pipelines on Databricks using SQL and Delta Lake for efficient storage and retrieval. 2. Design, implement, and schedule Databricks Workflows to automate end‑to‑end data processing. 3. Develop PySpark scripts for complex data transformations, aggregations, and analytics. 4. Analyze insurance datasets to extract insights that support underwriting, pricing, and claims decisions. 5. Ensure data quality through validation checks, monitoring, and automated alerts. 6. Participate in code reviews, contribute to best‑practice guidelines, and mentor junior team members. 7. Troubleshoot performance bottlenecks and resolve technical issues in the Databricks environment. 8. Document technical specifications, data lineage, and operational procedures. 9. Collaborate with cross‑functional teams to gather requirements and align solutions with business goals. 10. Stay updated on emerging data technologies and propose enhancements to the existing architecture. **Tech Stack**: Databricks, Databricks SQL, Delta Lake, Databricks Workflows, PySpark, Python, SQL, Azure/AWS cloud services, Git, CI/CD pipelines. **Growth Path**: Starting as a Developer, you can progress to Data Engineer, Senior Data Engineer, Lead Engineer, and eventually Data Architecture roles, with opportunities to specialize in insurance analytics or move into solution consulting. **Why Join Cognizant?** Cognizant offers a hybrid work model, exposure to cutting‑edge data platforms, and the chance to work on real‑world insurance problems that impact millions of customers. The company invests heavily in employee upskilling, provides mentorship programs, and encourages participation in global innovation labs, making it an ideal launchpad for a rewarding data‑focused career.