Big Data Developer at Cognizant – Empower Data-Driven Innovation with Hive, PySpark & Python
Location: Bangalore, India (Hybrid)
Job Type: Full-Time
Experience Required: 4 to 8 Years
Industry: Technology & Engineering
Domain Focus: Payments Networks / Cards & Payments
Work Arrangement: Hybrid (Day Shift, No Travel Required)
Job Number: 00063611091
Date Published: April 22, 2025
🌐 Accelerate Digital Transformation as a Data Developer at Cognizant
Are you passionate about building intelligent data platforms and optimizing Big Data solutions? Do you have experience with Hive, PySpark, and Python, and want to work in a forward-thinking tech environment? Cognizant invites you to be part of its global data engineering team as a Developer, where you’ll contribute to business-critical projects in the Payments and Financial Services domain.
Join one of the world’s most admired professional services companies to design, develop, and maintain scalable data pipelines and analytics infrastructure that drive innovation across industries.
💼 Position Summary
The Big Data Developer role is designed for professionals with 4 to 8 years of experience in modern data engineering, particularly within Hive, Big Data ecosystems, PySpark, and Python scripting. The ideal candidate will contribute to the design, development, and optimization of data flows, working in a hybrid work model with no travel commitments.
Your work will play a crucial role in helping clients transition to smarter, data-driven business operations, especially in the high-impact domain of Payments Networks and Cards & Payments.
🔧 Key Responsibilities
As a Developer at Cognizant, you will engage in the following responsibilities:
✅ Data Engineering & Pipeline Development:
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Design, build, and maintain robust Big Data pipelines using Hive, PySpark, and Python to process large-scale datasets efficiently.
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Optimize existing data processes and workflows to improve performance, scalability, and reliability.
✅ Cross-Team Collaboration:
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Partner with business analysts, data scientists, and stakeholders to gather requirements and convert them into technical specifications and actionable solutions.
✅ Analytics & Data Quality:
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Implement data validation rules, cleansing routines, and data integrity checks to ensure high-quality data processing and analytics.
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Apply best practices in error handling, logging, and data auditing for end-to-end transparency.
✅ Code Review & Documentation:
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Conduct code reviews to maintain coding standards and ensure adherence to best practices.
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Document workflows, architectural decisions, technical details, and deployment processes thoroughly.
✅ Performance Optimization:
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Identify and troubleshoot bottlenecks in ETL pipelines, optimize Spark job execution, and leverage caching and parallelism for performance tuning.
✅ Stakeholder Engagement:
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Collaborate with product managers, QA teams, and cloud architects to ensure timely, quality delivery of data features and analytics modules.
✅ Compliance & Security:
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Ensure all development activities comply with data privacy and security guidelines, particularly within the financial domain.
✅ Continuous Improvement:
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Proactively suggest enhancements to current systems and processes.
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Stay abreast of emerging technologies and innovations in data engineering and analytics.
🎓 Qualifications & Requirements
📘 Educational Background:
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Bachelor’s degree in Computer Science, Information Technology, Data Science, or a relevant technical discipline.
🛠 Core Technical Skills:
| Skill | Requirement |
|---|---|
| Hive | Advanced querying, partitioning, optimization |
| PySpark | Strong experience with Spark SQL, DataFrames, job scheduling |
| Python | Proficiency in data structures, automation scripts |
| Big Data | Hadoop ecosystem, data lake architecture, distributed systems |
🌟 Preferred Experience
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Domain Knowledge:
Experience working in Payments Networks, Cards & Payments, or Banking and Financial Services is a strong advantage. -
Agile Environments:
Exposure to Agile or Scrum methodologies in a cross-functional delivery model. -
Cloud Familiarity:
Understanding of cloud platforms such as AWS, Azure, or GCP for data pipeline deployment is a plus. -
DevOps Awareness:
Experience with CI/CD pipelines, version control (e.g., Git), and automated testing frameworks.
🏅 Certifications (Preferred)
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Certified Big Data Professional
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Certified Python Developer
These certifications reinforce technical credibility and understanding of modern data ecosystems.
🌱 Life at Cognizant
Cognizant fosters an inclusive, high-performance culture that empowers individuals to think boldly and work collaboratively.
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Inclusive Work Environment:
Be part of a team that celebrates diversity, equity, and belonging across all roles and levels. -
Hybrid Flexibility:
Work from home and onsite as needed with no travel obligations, offering work-life harmony. -
Learning Culture:
Access continuous learning opportunities, certification programs, and upskilling tracks tailored to your goals. -
Community Impact:
Contribute to initiatives focused on climate action, corporate responsibility, and community upliftment.
🏢 About Cognizant
Cognizant Technology Solutions is a leading global technology and consulting firm. Ranked among the NASDAQ-100 and Forbes’ World’s Best Employers, Cognizant helps clients across industries adopt agile, data-driven strategies using next-gen technologies like AI, cloud, IoT, and Big Data.
With over 300,000 professionals across the globe, Cognizant combines deep domain knowledge with a consultative approach to build scalable solutions that accelerate digital transformation.
⚖️ Equal Opportunity Commitment
Cognizant is an equal opportunity employer. The company does not discriminate on the basis of:
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Race
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Gender identity
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Religion
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Sexual orientation
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Disability
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Veteran status
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Age
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National origin
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Pregnancy or genetic characteristics
Cognizant is committed to ensuring accessibility during the hiring process. To request accommodations, contact: CareersNA2@cognizant.com.
📌 Job Highlights
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Title: Developer – Big Data, Hive, PySpark, Python
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Job ID: 00063611091
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Location: Bangalore, India
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Work Mode: Hybrid (Day Shift)
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Industry: Technology & Engineering
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Experience Level: 4–8 Years
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Travel Requirement: None
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Employment Type: Full-Time
📝 How to Succeed in This Role
To stand out as a candidate:
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Include detailed examples of projects using Hive or Python.
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Share your experience with data lake architecture, ETL frameworks, and real-time streaming (if applicable).
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Mention any prior work in Payments Networks or FinTech platforms.
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Prepare for scenario-based technical discussions during interviews.
🎯 Conclusion: Build the Future of Payments Data at Cognizant
This is your chance to join a leading tech powerhouse as a Big Data Developer in a fast-evolving digital landscape. You’ll solve complex data challenges, work on enterprise-grade systems, and enable innovation in the financial services sector.
If you’re passionate about leveraging Hive, PySpark, and Python to power intelligent insights and applications, apply now to build your career with Cognizant.