
BigData Engineer With AWS
6 hours ago
Job Title : Big Data Engineer with Strong AWS
Location : Hyderabad, Telangana , India-Hybrid 2-3 days a week
Experience Mid-Level
Duration : 1 year+
· Mid-level Big Data Engineer.
· Strong Spark /PySpark , Hadoop on AWS using Scala/Java , AWS EMR, EC2, ECS
· Strong experience with Rest API /AWS Gateway services using Scala/Java
About the Role:
You will be instrumental in building scalable data pipelines, integrating APIs, and optimizing big data solutions on AWS.
Key Responsibilities:
- Design, develop, and maintain scalable data processing pipelines using Spark/PySpark and Hadoop on AWS.
- Implement and optimize data workflows on AWS EMR, EC2, and ECS.
- Develop and integrate RESTful APIs and AWS Gateway services using Scala/Java.
- Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
- Ensure data quality, performance, and reliability across all systems.
- Participate in code reviews, testing, and deployment processes.
- Required Skills & Qualifications:
- 3–5 years of experience in Big Data Engineering.
- Strong hands-on experience with Spark/PySpark, Hadoop, and AWS services.
- Proficiency in Scala or Java for backend and API development.
- Experience with AWS EMR, EC2, ECS, and API Gateway.
- Solid understanding of RESTful API design and integration.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Excellent problem-solving and communication skills.
- Preferred Qualifications:
- Experience in data security and compliance within cloud environments.
- Exposure to data lake architectures and real-time data processing.
- Knowledge of containerization tools like Docker and orchestration with Kubernetes.
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