Data Engineer

Cognizant is seeking a talented and motivated Data Engineer to join our growing data team. In this role, you will design, build, and maintain scalable, high-performance data platforms and pipelines that support critical business operations and analytics initiatives within a modern, cloud-native environment.

Key responsibilities

• Design, develop, and maintain scalable batch and real-time data pipelines using modern data engineering technologies.
• Build and optimize data processing solutions leveraging Apache Spark, Kafka, and distributed computing frameworks.
• Develop, deploy, and manage containerized applications and data services using Docker and Kubernetes.
• Establish and enforce data quality, governance, security, and compliance standards across data platforms.
• Collaborate with data scientists, analysts, and product teams to understand requirements and deliver impactful data products.

Requirements

• Proven experience as a Data Engineer or in a similar data-focused engineering role.
• Strong programming skills in Python, Java, and/or Kotlin.
• Hands-on experience with Apache Spark, Hadoop, Kafka, Hive, Airflow, and SQL.
• Strong understanding of distributed systems, data architecture, and scalable data processing frameworks.
• Knowledge of containerization and orchestration technologies, including Docker and Kubernetes.

What we offer

• Private medical care and dental care.
• Life insurance.
• Cafeteria benefits.
• Sharing the costs of sports activities.