Data Engineer – Java, Spark, Kafka
Location: Hyderabad
Experience: 10 to 16 years
Employment Type: Full-Time | Hybrid | Day Shift
Technologies: Java, Apache Spark, Apache Kafka
Job Summary
Cognizant is seeking a highly experienced Data Engineer to lead the development of scalable data pipelines and infrastructure. You will play a critical role in designing high-performance ETL/ELT processes, real-time streaming data pipelines, and implementing enterprise-grade data architecture using Java, Spark, and Kafka.
Key Responsibilities
Design and implement scalable data architectures and infrastructure for optimized data extraction, transformation, and loading.
Identify and integrate diverse data sources while designing robust data schemas and models aligned with business needs.
Lead the end-to-end delivery of AI and data-driven solutions—from ideation and feasibility to industrialization.
Collaborate with business, IT, and data stakeholders to resolve technical issues and define scalable infrastructure strategies.
Build and deploy scalable batch and/or real-time data pipelines with a focus on DataOps best practices.
Design, develop, test, document, and deploy ETL/ELT workflows.
Ensure high reliability, performance, and cost-efficiency in data pipeline operations.
Monitor data processing systems and propose solutions for performance improvement.
Maintain thorough documentation for data engineering projects and systems.
Coach and mentor junior engineers, while sharing knowledge with the wider team.
Required Skills and Experience
10–16 years of experience in data engineering or a related field.
Hands-on expertise in Java, Apache Spark, and Apache Kafka.
Strong understanding of data pipeline design, batch/real-time data processing, and distributed computing.
Experience designing schemas, building data models, and integrating heterogeneous data sources.
Deep knowledge of ETL/ELT principles and performance optimization strategies.
Ability to balance performance, scalability, reliability, and cost in architecture and design decisions.
Proficiency in documenting technical processes and leading technical discussions.
Strong problem-solving abilities and experience working in agile environments.
Prior experience in coaching and mentoring team members is preferred.
Why Join Cognizant?
Be part of a high-caliber, collaborative team that supports one another.
Access to innovative projects and cutting-edge data technologies.
Work in a hybrid, inclusive, and growth-oriented environment.
Opportunity to shape enterprise-level data platforms and impact global clients.
Recognized by Forbes as one of the World’s Best Employers 2024.
About Cognizant
Cognizant is a global leader in professional services, transforming clients’ business and technology models for the digital age. With over 300,000 associates globally and a reputation for innovation and excellence, Cognizant is committed to delivering results that matter. Learn more at www.cognizant.com.
Equal Opportunity Employer
Cognizant values diversity and is an equal opportunity employer. We do not discriminate based on race, religion, gender, sexual orientation, disability, or veteran status.
