We are looking for an experienced Big Data Applications Engineer with strong software development skills and hands-on experience in AWS, distributed data processing, and API development.

Key Responsibilities

- Design, develop, test, and deploy scalable Big Data applications using Java, Scala, Python, and Spark.
- Build and maintain distributed batch-processing applications using Hadoop, HDFS, Spark, and MapReduce.
- Integrate recent data sources and tools into existing Big Data ecosystems.
- Develop and support REST APIs, SOAP web services, microservices, and API integrations.
- Design and implement scalable data-processing solutions using AWS services.
- Optimize batch application performance across Spark, Hadoop, EMR, Java, and Python workloads.
- Work with cross-functional teams to design, develop, and deploy reliable data solutions.
- Collaborate with onsite and offshore teams,



providing technical guidance on architecture and development.
- Follow secure development practices, automated testing, and CI/CD processes.

Mandatory Technical Skills

- Programming: Java, Scala, Python
- Big Data: Apache Spark, Hadoop, HDFS, MapReduce, Cassandra
- AWS: EMR, EC2, ECS, S3, Airflow, Step Functions, API Gateway
- API Development: REST APIs, SOAP Web Services, Microservices
- Scripting: Linux, Shell Scripting, Python
- Performance Tuning: Spark, Hadoop, EMR, Java, and Python batch applications

Preferred Skills

- Git, GitHub, Bitbucket, GitLab
- Maven, Gradle, Jenkins, Artifactory
- AWS CodeCommit and CloudFormation
- IntelliJ IDEA / PyCharm
- CI/CD and automated deployment practices

Skills: java,microservices,linux,ci/cd,aws,rest apis,python

📌 Big Data Applications Engineer_AWS (Hyderabad)
🏢 Zorba AI
📍 Hyderabad