Role : Big Data Engineer
Position Type : Full-Time Contract (40hrs / week)
Contract Duration : Long Term
Work Schedule : 8 hours / day (Mon-Fri)
Location : Hybrid - Hyderabad, India (3x days onsite / week)
We are looking for a skilled Big Data Engineer (5+ years’ experience) to join Experian’s dynamic data engineering team. You will design and optimize scalable data pipelines, APIs, and big data solutions on AWS to support our global data ecosystem.
Key Responsibilities :
- Build and maintain scalable data pipelines with Spark / PySpark, Hadoop, and AWS (EMR, EC2, ECS) .
- Develop and integrate RESTful APIs and AWS Gateway services using Scala / Java .
- Ensure data quality, performance, and reliability across platforms.
- Collaborate with cross-functional teams and support CI / CD deployment processes.
Must-Haves :
5+ years of experience in Big Data Engineering.Strong skills in Spark / PySpark, Hadoop, AWS (EMR, EC2, ECS) .Proficiency in Scala / Java for backend / API development.Solid understanding of RESTful APIs and Git / CI / CD pipelines.Nice-to-Haves :
Experience in data security, real-time processing, and data lake architectures .Familiarity with Docker / Kubernetes .