Cognizant is hiring a Developer for its Kochi office, working specifically with Databricks SQL, Delta Lake, and Workflows alongside PySpark to build data solutions for the Property & Casualty Insurance domain. This isn’t a generic “Java developer” listing — it’s a genuinely specialized data engineering role that sits at the intersection of two fast-growing niches: the modern Databricks/Delta Lake data stack, and the specific, regulation-heavy world of P&C insurance data.
Job Overview
| Company | Cognizant |
| Job Role | Developer – Databricks SQL, Delta Lake & PySpark |
| Qualification | Databricks Certified Data Engineer Associate + PySpark Certification (required) |
| Job Type | Full Time (Hybrid, Day Shifts) |
| Experience | Experienced (strong hands-on Databricks/PySpark background) |
| Location | Kochi, Kerala, India |
What makes this listing worth paying close attention to is the certifications section: Cognizant explicitly lists Databricks Certified Data Engineer Associate and PySpark Certification as required, not preferred. That’s a meaningfully higher bar than most “developer” job postings, and it means the applicant pool is naturally smaller — if you already hold these certifications, or can realistically get them before you apply, your odds improve significantly.
This role also sits inside a specific industry vertical: Property & Casualty Insurance. P&C carriers deal with enormous, messy datasets — policies, claims, underwriting data, catastrophe modeling — and increasingly rely on modern lakehouse architectures like Databricks to make that data usable. Domain knowledge in insurance, even basic exposure, meaningfully strengthens a candidate’s case here.
Job Role
As a Developer on this team, you’ll build and maintain data pipelines using Databricks SQL and Delta Lake, design Databricks Workflows to orchestrate data operations, and use PySpark to power complex data transformations and analytics. Day to day, this looks less like traditional application development and more like data platform engineering — you’re building the infrastructure that lets analysts and downstream systems reliably access clean, validated P&C insurance data.
Key Responsibilities
- Develop and implement data solutions using Databricks SQL and Delta Lake to optimize data processing and storage
- Collaborate with cross-functional teams to design and execute Databricks Workflows that streamline data operations
- Utilize PySpark to enhance data analytics capabilities and support complex data transformations
- Analyze and interpret data within the Property & Casualty Insurance domain to provide actionable insights
- Ensure data integrity and accuracy by implementing robust validation and monitoring processes
- Contribute to the development of scalable data architectures that support business objectives
- Participate in code reviews and provide constructive feedback to improve code quality
- Troubleshoot and resolve technical issues related to Databricks and PySpark implementations
- Stay updated with industry trends and emerging technologies to continuously improve solutions
- Document technical specifications and maintain comprehensive records of data processes
- Collaborate with stakeholders to understand requirements and deliver solutions that meet business needs
- Optimize performance of data workflows to ensure efficient processing and timely delivery of insights
Eligibility Criteria
- Strong, demonstrable experience with Databricks SQL, Delta Lake, and Workflows
- Solid understanding of PySpark and its application in data processing and analytics
- Databricks Certified Data Engineer Associate certification (required)
- PySpark Certification (required)
- Based in or willing to relocate to Kochi for this hybrid role
Skills Required
- Proficiency in Databricks SQL, Delta Lake, and Databricks Workflows for data management
- Strong PySpark skills for data processing, transformation, and analytics
- Domain expertise or working knowledge of the Property & Casualty Insurance business
- Excellent problem-solving skills and the ability to troubleshoot complex technical issues independently
- Effective communication skills to collaborate with diverse, cross-functional teams and stakeholders
- Attention to detail and a strong focus on data integrity and quality
Preferred Qualifications
- Prior project experience specifically within P&C insurance or a closely related insurance/financial services domain
- Familiarity with scalable data architecture design beyond individual pipeline development
- A demonstrated commitment to continuous learning, given how quickly the Databricks ecosystem evolves
- Experience mentoring or reviewing the work of less experienced data engineers
Job Location
Kochi, Kerala, India (Hybrid work model)
Salary & Benefits
Cognizant states that compensation is reviewed regularly against market data to ensure it reflects the value employees bring, and benefits extend beyond base pay to include retirement plans and financial education resources. Beyond financial wellbeing, Cognizant highlights paid time off, flexible working arrangements where possible, healthcare plans, counselling support, and a dedicated Mental Health Allyship program. With more than 350,000 roles across the company globally, Cognizant also emphasizes genuine internal mobility — the ability to explore new technologies, industries, and even locations over the course of a career, rather than staying siloed in one narrow track.
Selection Process
Cognizant’s hiring process typically runs through four stages: applying to the role that matches your skills, an initial intro call with a recruiter to assess fit, one or more interviews with the hiring team (which may include technical assessments or client interviews for a specialized role like this one), and a final decision stage. Given the explicit certification requirements here, expect the technical assessment to probe real hands-on Databricks and PySpark experience rather than surface-level familiarity — this is not a role where certifications alone, without practical project experience, will carry you through a technical interview.
How to Apply
Interested candidates should apply directly through Cognizant’s official careers page. If you don’t yet hold the Databricks Certified Data Engineer Associate or PySpark certifications but have strong practical experience, it’s worth pursuing at least the Databricks certification before applying, since it’s listed as a hard requirement rather than a nice-to-have — walking in with the credential already in hand removes an easy disqualifier.
Apply Link
Apply for Cognizant Developer Role →
About the Company
Cognizant (Nasdaq: CTSH) describes itself as an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for clients across industries. The company combines deep industry, process, and engineering expertise to embed an organization’s unique context directly into its technology systems — an approach that shows up clearly in specialized, domain-specific roles like this P&C insurance data engineering position, rather than generic, one-size-fits-all development work.
Final Thoughts
This Cognizant Developer role rewards specialization: candidates who’ve actually invested in Databricks and PySpark certifications, and who understand (or are willing to learn) the P&C insurance domain, will face meaningfully less competition than they would for a generic full-stack developer listing. If your background already leans toward modern data engineering on the Databricks/Delta Lake stack, this Kochi-based hybrid role is a strong, credible next step — and insurance-domain data experience travels well across the broader insurtech and fintech data engineering job market.
