AWS Big Data Engineer (4-9 yrs)
Vy Systems
posted 12hr ago
Fixed timing
Job Title : AWS Bigdata Engineer (Spark, Scala)
Job Description :
Responsibilities :
- Design, develop, and maintain scalable data pipelines using Spark and Scala.
- Implement data processing workflows on AWS services like S3, Redshift, Glue, and EMR.
- Collaborate with data scientists and analysts to ensure data availability and quality.
- Optimize data storage and retrieval for performance and cost-efficiency.
- Monitor and troubleshoot data pipelines to ensure reliability and scalability.
- Develop and maintain CI/CD pipelines for data engineering workflows.
- Ensure data security and compliance with organizational policies.
Requirements :
- Strong experience with Spark and Scala for data processing.
- Proficiency in AWS services such as S3, Redshift, Glue, Lambda, and EMR.
- Solid understanding of distributed computing and big data technologies.
- Experience with SQL and NoSQL databases.
- Familiarity with DevOps practices and tools like Jenkins, Docker, and Kubernetes.
- Excellent problem-solving and communication skills.
- Bachelor's degree in Computer Science, Engineering, or a related field.
Functional Areas: Software/Testing/Networking
Read full job descriptionPrepare for Big Data Engineer roles with real interview advice