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🏢 Cognizant
Developer
💼 Fulltime
🎓 2026 Batch
📍 Kochi, India
🔗 Explore More
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🛠 Skills Required
Databricks SQL
Delta Lake
Databricks Workflows
PySpark
Python
SQL
Data Modeling
ETL
Cloud (Azure/AWS)
Git
Problem Solving
🎤 Interview Experience
Cognizant’s interview process typically starts with a timed online assessment focusing on aptitude and basic coding. Successful candidates move to a technical interview where interviewers probe data engineering concepts, SQL, PySpark, and problem‑solving abilities. The final HR round assesses cultural fit, communication skills, and career aspirations. Preparation should include practicing SQL queries, Spark transformations, and mock aptitude tests.
🏢 Work Culture
Cognizant promotes a learning‑first culture with ample opportunities for upskilling through internal academies and certifications. Employees enjoy a balanced hybrid work model, collaborative team environments, and clear career progression pathways. The company emphasizes work‑life balance and supports employee well‑being through flexible policies and wellness programs.
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📚 Free Study Materials (4)
Aptitude Practice Questions
Curated set of quantitative, logical, and verbal questions to sharpen the aptitude skills required for the online assessment.
Open Resource ↗
Cognizant Recruitment Process Insights
Detailed experiences from past candidates outlining each interview round, question patterns, and preparation tips.
Open Resource ↗
Cognizant Interview Preparation Guide
Comprehensive guide covering technical topics, mock interview strategies, and HR round expectations specific to Cognizant.
Open Resource ↗
Comprehensive Coding Problem Set
Extensive collection of coding problems to practice algorithmic thinking and improve coding speed for technical interviews.
Open Resource ↗
✅ Eligibility Criteria
B.Tech/B.E. or M.Tech in Computer Science, Information Technology, or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); batch 2026; no active backlogs at the time of joining; strong foundation in data structures, algorithms, and database concepts.
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🏆 Selection Process
Round 1: Online assessment (aptitude and basic coding) → Round 2: Technical interview (data engineering concepts, SQL, PySpark, problem solving) → Round 3: HR interview (fitment, communication, career goals)
🎯
Don't miss this opportunity!
Apply before 31 Jul 2026 — only 21 days left
✅ Apply on Official Website →📋 About the Role
Cognizant is a global leader in digital, technology, consulting and operations services. With a presence in over 40 countries, the company helps enterprises reimagine their business models, harness the power of AI, and drive sustainable growth. Known for its strong focus on innovation, Cognizant invests heavily in upskilling its workforce and building end‑to‑end solutions that blend industry expertise with cutting‑edge technology. The firm’s culture encourages collaboration, continuous learning, and a commitment to delivering measurable value to clients across sectors such as banking, healthcare, retail, and insurance.
The role of Developer at Cognizant’s Property & Casualty Insurance practice is designed for fresh engineering graduates who are passionate about data engineering and analytics. Working in a hybrid model from the Kochi office, you will be part of a dynamic team that builds scalable data pipelines on Databricks, leverages Delta Lake for reliable data storage, and creates automated workflows that accelerate business insights. Your contributions will directly impact how insurers process risk data, underwrite policies, and improve claim handling efficiency.
Key responsibilities include:
1. Design, develop, and maintain data solutions using Databricks SQL and Delta Lake to ensure high‑performance data processing.
2. Build and orchestrate Databricks Workflows that automate ETL jobs and data quality checks.
3. Write efficient PySpark code for complex transformations, aggregations, and analytics.
4. Analyze insurance datasets to extract actionable insights for underwriting and claims.
5. Implement validation, monitoring, and alerting mechanisms to guarantee data integrity.
6. Contribute to the architecture of scalable data platforms aligned with business objectives.
7. Participate in code reviews, provide constructive feedback, and adhere to best coding practices.
8. Troubleshoot and resolve technical issues related to Databricks, Spark, and data pipelines.
9. Stay current with emerging data engineering tools and industry trends.
10. Document technical specifications, data lineage, and process workflows.
Tech stack: Databricks SQL, Delta Lake, Databricks Workflows, PySpark, Python, SQL, Git, CI/CD pipelines, and cloud platforms (Azure/AWS). Cognizant offers a clear growth path – from Developer to Senior Engineer, Lead Engineer, and eventually Solution Architect or Data Platform Manager. Regular internal training, certifications, and mentorship programs accelerate career progression. Joining Cognizant means exposure to large‑scale insurance projects, access to a global talent network, and the opportunity to work on AI‑driven data solutions that shape the future of the industry. The hybrid work model provides flexibility while fostering strong team collaboration, making it an ideal environment for fresh talent to launch a rewarding career.
🎯
Don't miss this opportunity!
Apply before 31 Jul 2026 — only 21 days left
✅ Apply on Official Website →📤 Share this Job
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📋 Quick Info
JOB ID
C1386-J003
POSTED
2h ago
TYPE
Fulltime
BATCH
2026
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